{"id":127892,"date":"2026-05-27T16:29:11","date_gmt":"2026-05-27T15:29:11","guid":{"rendered":"https:\/\/antsroute.com\/?p=127892"},"modified":"2026-05-27T16:29:11","modified_gmt":"2026-05-27T15:29:11","slug":"scoring-algorithm-route-optimisation","status":"publish","type":"post","link":"https:\/\/antsroute.com\/en\/solutions\/scoring-algorithm-route-optimisation\/","title":{"rendered":"How a scoring algorithm works in route optimisation"},"content":{"rendered":"<div class=\"wpb-content-wrapper\">[vc_row css=&#8221;.vc_custom_1735829915094{margin-top: 50px !important;}&#8221;][vc_column width=&#8221;1\/12&#8243; el_class=&#8221;vc_hidden-xs Extra Small Screen vc_hidden-sm Small Screen&#8221;][\/vc_column][vc_column width=&#8221;10\/12&#8243;][vc_row_inner el_class=&#8221;vc_row-2&#8243;][vc_column_inner el_class=&#8221;vc_hidden-xs Extra Small Screen vc_hidden-sm Small Screen&#8221; width=&#8221;1\/12&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;10\/12&#8243;][vc_column_text css=&#8221;.vc_custom_1779892737340{margin-top: 5px !important;}&#8221;]<a style=\"text-decoration: none; color: #1a1a1a; font-size: 18px; font-weight: 500;\" href=\"https:\/\/antsroute.com\/en\/blog\/\">Blog<\/a> &gt; <span style=\"color: #5d75e7; font-size: 18px; font-weight: 500;\">Route optimisation<\/span> &gt; <span style=\"color: #a7a7a7; font-size: 18px;\">How a scoring algorithm works in route optimisation<\/span>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]\n<h1>How a scoring algorithm works in route optimisation<\/h1>\n[\/vc_column_text][vc_column_text]\n<p class=\"text-head\" style=\"color: #424762; font-size: 16px;\">Published on <span style=\"font-weight: 500;\">27 May 2026<\/span> <span class=\"span-reading-time rt-reading-time\"><span class=\"rt-label rt-prefix\"> \u2022 Reading time: <\/span> <span class=\"rt-time\"> 8<\/span> <span class=\"rt-label rt-postfix\">min read<\/span><\/span>\n[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<img decoding=\"async\" class=\"aligncenter wp-image-127894\" style=\"border-radius: 5px;\" src=\"https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-1.webp\" alt=\"Banner showing a delivery route with the addition of a new task assessed by a multi-criteria scoring algorithm.\" width=\"1600\" height=\"847\" srcset=\"https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-1.webp 1629w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-1-300x159.webp 300w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-1-1024x542.webp 1024w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-1-768x406.webp 768w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-1-1536x813.webp 1536w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-1-142x75.webp 142w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-1-700x370.webp 700w\" sizes=\"(max-width:767px) 700px, (max-width:1600px) 100vw, 1600px\" \/>[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=&#8221;vc_hidden-xs Extra Small Screen vc_hidden-sm Small Screen&#8221; width=&#8221;1\/12&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner el_class=&#8221;vc_row-2&#8243;][vc_column_inner el_class=&#8221;vc_hidden-xs Extra Small Screen vc_hidden-sm Small Screen&#8221; width=&#8221;2\/12&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;8\/12&#8243;][vc_column_text css=&#8221;&#8221;]In a route optimisation engine, the challenge is not simply to determine whether an insertion is feasible. The real objective is to determine whether that insertion represents a good operational decision.<\/p>\n<p>This distinction is critical: in real-world systems, several insertions may be technically valid while producing very different outcomes. Some severely reduce schedule robustness. Others increase waiting times or gradually lock future flexibility for route reorganisation. In other words, feasibility alone is not enough.<\/p>\n<p>This is precisely why modern optimisation engines rely on multi-criteria scoring mechanisms. At AntsRoute, scoring plays a central role in assessing and prioritising candidate insertions within an already constructed schedule.<\/p>\n<p><strong>What this article covers:<\/strong><\/p>\n<ul id=\"imglist-3\">\n<li><a href=\"#scoring-is-an-arbitration-mechanism\"><u>Why scoring has become central to optimisation engines<\/u><\/a><\/li>\n<li><a href=\"#not-all-feasible-insertions-are-equal\"><u>Why not all feasible insertions are equal<\/u><\/a><\/li>\n<li><a href=\"#first-layer-of-scoring-the-marginal-insertion-cost\"><u>The role of marginal cost in route evaluation<\/u><\/a><\/li>\n<li><a href=\"#the-score-must-incorporate-the-temporal-quality-of-the-route\"><u>Why temporal quality completely changes scoring<\/u><\/a><\/li>\n<li><a href=\"#the-score-also-measures-geographic-consistency\"><u>Geographic consistency as a robustness criterion<\/u><\/a><\/li>\n<li><a href=\"#hard-constraints-and-soft-constraints-two-very-different-approaches\"><u>Hard constraints vs soft constraints: two different approaches<\/u><\/a><\/li>\n<li><a href=\"#the-score-must-also-measure-future-reorganisation-potential\"><u>Preserving future reorganisation capacity<\/u><\/a><\/li>\n<li><a href=\"#scoring-is-also-used-to-guide-algorithmic-exploration\"><u>How scoring guides the engine\u2019s exploration process<\/u><\/a><\/li>\n<li><a href=\"#why-a-score-must-remain-explainable\"><u>Why a score must remain understandable and explainable<\/u><\/a><\/li>\n<\/ul>\n<h2 id=\"scoring-is-an-arbitration-mechanism\"><span id=\"Scoring_is_an_arbitration_mechanism\">Scoring is an arbitration mechanism<\/span><\/h2>\n<p>In simplified approaches, an insertion is often assessed using a single criterion, such as additional distance, travel time or immediate cost. In real-world operations, however, this logic quickly becomes insufficient.<\/p>\n<p>The engine must simultaneously arbitrate between several objectives that may sometimes conflict:<\/p>\n<ul id=\"imglist\">\n<li>reducing mileage;<\/li>\n<li>preserving time buffers;<\/li>\n<li>maintaining geographic consistency;<\/li>\n<li>complying with business constraints;<\/li>\n<li>limiting waiting times;<\/li>\n<li>preserving future reorganisation capacity;<\/li>\n<li>and avoiding overly fragile routes.<\/li>\n<\/ul>\n<p>As <a href=\"https:\/\/www.linkedin.com\/in\/ammar-oulamara-5b837177\" target=\"_blank\" rel=\"noopener\"><u>Ammar Oulamara<\/u><\/a>, Head of R&amp;D at AntsRoute, explains:<\/p>\n<p class=\"summary-block\">\u201cScoring is not simply about finding the least expensive insertion. It is about finding the insertion that causes the least degradation to the overall quality of the schedule.\u201d<\/p>\n<p>This nuance fundamentally changes the way the engine is designed.<\/p>\n<p>This article deliberately focuses on scoring and insertion evaluation mechanisms. For a broader overview of the challenges involved in route optimisation in last-mile logistics, you can also read our <strong><a href=\"https:\/\/antsroute.com\/en\/solutions\/route-optimisation-complexity\/\"><u>complete article on route optimisation<\/u><\/a><\/strong>. The challenge then becomes one of aggregation.<\/p>\n<p>How do you compare two insertions when:<\/p>\n<ul id=\"imglist\">\n<li>the first slightly increases mileage;<\/li>\n<li>the second has a greater impact on time buffers;<\/li>\n<li>while the third creates more waiting time but preserves better geographic consistency?<\/li>\n<\/ul>\n<p>To make these solutions comparable, the engine converts all these dimensions into a single <strong>scalar score<\/strong> capable of <strong>ranking candidate insertions<\/strong>.<br \/>\nThe objective is not to artificially reduce the problem to a single metric, but to build a consistent arbitration mechanism between several heterogeneous operational costs.<\/p>\n<p><a href=\"https:\/\/calendly.com\/lea-brice-antsroute\/demonstration\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"aligncenter wp-image-126567 size-full\" style=\"border-radius: 5px;\" src=\"https:\/\/antsroute.com\/wp-content\/uploads\/antsroute-cta-book-demo.webp\" alt=\"Call-to-action banner for AntsRoute featuring route optimisation software, a delivery route map interface, and a \u201cBook a demo\u201d button highlighting reduced mileage and improved customer satisfaction.\" width=\"1600\" height=\"499\" srcset=\"https:\/\/antsroute.com\/wp-content\/uploads\/antsroute-cta-book-demo.webp 1600w, https:\/\/antsroute.com\/wp-content\/uploads\/antsroute-cta-book-demo-300x94.webp 300w, https:\/\/antsroute.com\/wp-content\/uploads\/antsroute-cta-book-demo-1024x319.webp 1024w, https:\/\/antsroute.com\/wp-content\/uploads\/antsroute-cta-book-demo-768x240.webp 768w, https:\/\/antsroute.com\/wp-content\/uploads\/antsroute-cta-book-demo-1536x479.webp 1536w, https:\/\/antsroute.com\/wp-content\/uploads\/antsroute-cta-book-demo-150x47.webp 150w, https:\/\/antsroute.com\/wp-content\/uploads\/antsroute-cta-book-demo-700x218.webp 700w\" sizes=\"(max-width:767px) 700px, (max-width:1600px) 100vw, 1600px\" \/><\/a><\/p>\n<h2 id=\"not-all-feasible-insertions-are-equal\"><span id=\"Not_all_feasible_insertions_are_equal\">Not all feasible insertions are equal<\/span><\/h2>\n<p>Let us consider a new task \u03c4 to be inserted into an already constructed <strong>multi-day schedule<\/strong>. The engine must then explore a decision space of the form: <strong>(day d) \u00d7 (route r\u1d62) \u00d7 (position p)<\/strong>. Each candidate triplet must then be evaluated.<\/p>\n<p>Some insertions are immediately rejected:<\/p>\n<ul id=\"imglist\">\n<li>capacity exceeded;<\/li>\n<li>skill incompatibility;<\/li>\n<li>regulatory violation;<\/li>\n<li>temporal infeasibility.<\/li>\n<\/ul>\n<p>But in most cases, several insertions remain feasible.<\/p>\n<p>This is where <strong>scoring becomes central<\/strong>: it allows the engine to compare these solutions, measure their relative quality and rank the best candidates. The engine therefore does not operate according to a binary logic \u2014 feasible or impossible \u2014 but according to solution quality.<\/p>\n<h2 id=\"first-layer-of-scoring-the-marginal-insertion-cost\"><span id=\"First_layer_of_scoring_the_marginal_insertion_cost\">First layer of scoring: the marginal insertion cost<\/span><\/h2>\n<p>The first component of scoring is naturally the geographic cost. At AntsRoute, the engine notably evaluates the <strong>marginal cost<\/strong> introduced by adding a task using the following formula:<br \/>\n<strong>\u0394c = c(v\u209a\u208b\u2081, \u03c4) + c(\u03c4, v\u209a) \u2212 c(v\u209a\u208b\u2081, v\u209a)<\/strong><\/p>\n<p>This measure makes it possible to quantify the direct additional cost created by inserting a task between two consecutive vertices in a route. The lower this cost:<\/p>\n<ul id=\"imglist\">\n<li>the more geographically consistent the insertion;<\/li>\n<li>the more the route preserves its spatial compactness.<\/li>\n<\/ul>\n<p>But this component represents only part of the overall score.<\/p>\n<p>As Ammar Oulamara points out:<\/p>\n<p class=\"summary-block\">\u201cMileage cost alone is a very poor indicator of quality in highly constrained routes.\u201d<\/p>\n<h2 id=\"the-score-must-incorporate-the-temporal-quality-of-the-route\"><span id=\"The_score_must_incorporate_the_temporal_quality_of_the_route\">The score must incorporate the temporal quality of the route<\/span><\/h2>\n<p>In <strong>VRPTW<\/strong> (Vehicle Routing Problem with Time Windows) scenarios, time constraints become dominant. An insertion may:<\/p>\n<ul id=\"imglist\">\n<li>increase waiting times;<\/li>\n<li>reduce time buffers;<\/li>\n<li>densify certain time slots;<\/li>\n<li>or significantly reduce the temporal stability of the schedule.<\/li>\n<\/ul>\n<p>The engine therefore also penalises unnecessary waiting times according to the following objective:<br \/>\n<strong>min \u03a3\u1d62 max(0, e\u1d62 \u2212 t\u1d62)<\/strong><\/p>\n<p>In this formulation, e\u1d62 represents the opening of the time window, while t\u1d62 corresponds to the estimated arrival time.<\/p>\n<p>These waiting times play an important role in scoring because they progressively reduce operational productivity, route density and the future ability to absorb disruptions.<\/p>\n<p>One of the main challenges of multi-criteria scoring lies in the <strong>heterogeneity of the metrics<\/strong> being handled. Additional kilometres, waiting times, constraint penalties and workload imbalances neither share the same units nor the same orders of magnitude. The engine must therefore normalise these different dimensions to prevent one criterion from artificially dominating the others purely because of its numerical scale.<\/p>\n<p>This normalisation then makes it possible to objectively compare insertions with very different operational profiles. The engine can subsequently aggregate these normalised components into a <strong>global scalar score<\/strong> used to rank candidate insertions.<\/p>\n<div id=\"attachment_127906\" style=\"width: 1610px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" aria-describedby=\"caption-attachment-127906\" class=\"wp-image-127906\" style=\"border-radius: 5px;\" src=\"https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-3.webp\" alt=\"Visual comparison of three possible insertions for the same delivery within a route. The image shows three side-by-side maps representing different insertion positions within an itinerary, along with their impact on additional kilometres, waiting times and scheduling buffers.\" width=\"1600\" height=\"980\" srcset=\"https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-3.webp 1800w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-3-300x184.webp 300w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-3-1024x627.webp 1024w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-3-768x470.webp 768w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-3-1536x940.webp 1536w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-3-123x75.webp 123w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-3-700x429.webp 700w\" sizes=\"(max-width:767px) 700px, (max-width:1600px) 100vw, 1600px\" \/><p id=\"caption-attachment-127906\" class=\"wp-caption-text\">Comparison of several candidate insertions within a dynamic route to illustrate the role of multi-criteria scoring in assessing the operational quality of schedules.<\/p><\/div>\n<h2 id=\"the-score-also-measures-geographic-consistency\"><span id=\"The_score_also_measures_geographic_consistency\">The score also measures geographic consistency<\/span><\/h2>\n<p>A route may be mathematically optimised while still remaining difficult to operate in the field. This is particularly true of fragmented routes featuring:<\/p>\n<ul id=\"imglist\">\n<li>frequent overlaps;<\/li>\n<li>scattered geographic areas;<\/li>\n<li>unnecessary back-and-forth journeys;<\/li>\n<li>poorly structured allocation of tasks.<\/li>\n<\/ul>\n<p>At AntsRoute, the scoring system therefore also incorporates <strong>spatial compactness criteria<\/strong>.<br \/>\nThe objective is to encourage:<\/p>\n<ul id=\"imglist\">\n<li>geographic clustering of customers;<\/li>\n<li>route continuity;<\/li>\n<li>and operational readability of the schedule.<\/li>\n<\/ul>\n<p>As Ammar Oulamara explains:<\/p>\n<p class=\"summary-block\">\u201cA geographically consistent route is often more robust and easier to operate in practice.\u201d<\/p>\n<h2 id=\"hard-constraints-and-soft-constraints-two-very-different-approaches\"><span id=\"Hard_constraints_and_soft_constraints_two_very_different_approaches\">Hard constraints and soft constraints: two very different approaches<\/span><\/h2>\n<p>One of the central elements of scoring lies in the distinction between <strong>strict constraints<\/strong> and <strong>penalised constraints<\/strong>.<\/p>\n<p>Some violations are forbidden and lead to the immediate rejection of the solution by the engine, including:<\/p>\n<ul id=\"imglist\">\n<li>skill incompatibility;<\/li>\n<li>regulatory breaches;<\/li>\n<li>impossible pickup &amp; delivery sequences;<\/li>\n<li>vehicle capacity exceeded.<\/li>\n<\/ul>\n<p>By contrast, other degradations remain technically acceptable, even though they reduce the overall quality of the schedule. The engine therefore incorporates them as penalties within the score. This applies for example to:<\/p>\n<ul id=\"imglist\">\n<li>excessive waiting times;<\/li>\n<li>temporal overloads;<\/li>\n<li>low robustness;<\/li>\n<li>imbalances between routes.<\/li>\n<\/ul>\n<p>However, not all degradations have the same operational impact. A slight increase in route density may remain acceptable. By contrast, an excessive reduction in time buffers or a heavy concentration of critical tasks within the same time slot can significantly reduce the overall robustness of the schedule.<\/p>\n<p>The engine therefore applies <strong>progressive penalties<\/strong> whose intensity depends on the estimated severity of the degradation caused by the insertion. This approach avoids overly rigid reasoning while still enabling intelligent comparisons between several imperfect solutions.<\/p>\n<p>Finally, not all criteria carry the same weight in the final evaluation. Depending on the operational context, certain priorities may become dominant:<\/p>\n<ul id=\"imglist\">\n<li>temporal stability;<\/li>\n<li>mileage reduction;<\/li>\n<li>geographic density;<\/li>\n<li>capacity to absorb urgent requests.<\/li>\n<\/ul>\n<p>The role of weighting is precisely to reflect these business priorities in the score calculation. The engine is therefore not searching for a universal optimum, but for a compromise aligned with the real operational objectives.<\/p>\n<div id=\"attachment_127912\" style=\"width: 1610px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" aria-describedby=\"caption-attachment-127912\" class=\"wp-image-127912 size-full\" style=\"border-radius: 5px;\" src=\"https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-4.webp\" alt=\"Infographic comparing hard constraints and soft constraints in a route optimisation algorithm, showing on one side the constraints that trigger the immediate rejection of an insertion, and on the other those that result in progressive penalties within the scheduling score.\" width=\"1600\" height=\"1016\" srcset=\"https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-4.webp 1600w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-4-300x191.webp 300w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-4-1024x650.webp 1024w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-4-768x488.webp 768w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-4-1536x975.webp 1536w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-4-118x75.webp 118w, https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-4-700x445.webp 700w\" sizes=\"(max-width:767px) 700px, (max-width:1600px) 100vw, 1600px\" \/><p id=\"caption-attachment-127912\" class=\"wp-caption-text\">Illustration of the difference between strict constraints and penalisable constraints in the multi-criteria scoring used by modern route optimisation engines.<\/p><\/div>\n<h2 id=\"the-score-must-also-measure-future-reorganisation-potential\"><span id=\"The_score_must_also_measure_future_reorganisation_potential\">The score must also measure future reorganisation potential<\/span><\/h2>\n<p>One of the most difficult aspects of dynamic systems concerns the schedule\u2019s future capacity to evolve. Some insertions may appear highly efficient in the short term, yet subsequently make routes far more difficult to re-optimise. This can notably result in:<\/p>\n<ul id=\"imglist\">\n<li>the disappearance of time buffers;<\/li>\n<li>saturation of certain resources;<\/li>\n<li>neighbourhood lock-in;<\/li>\n<li>heavy local densification.<\/li>\n<\/ul>\n<p>At AntsRoute, the scoring system therefore also incorporates the <strong>local improvement potential of candidate insertions<\/strong>. As Ammar Oulamara points out:<\/p>\n<p class=\"summary-block\">\u201cA good insertion must also preserve the engine\u2019s future ability to reorganise the schedule efficiently.\u201d<\/p>\n<p>In a dynamic environment, an insertion\u2019s score is never fixed. It continuously evolves as:<\/p>\n<ul id=\"imglist\">\n<li>the schedule becomes denser;<\/li>\n<li>new constraints emerge;<\/li>\n<li>or certain time buffers disappear.<\/li>\n<\/ul>\n<p>This approach is essential in real-time environments.<\/p>\n<h2 id=\"scoring-is-also-used-to-guide-algorithmic-exploration\"><span id=\"Scoring_is_also_used_to_guide_algorithmic_exploration\">Scoring is also used to guide algorithmic exploration<\/span><\/h2>\n<p>Scoring is not only used to rank solutions: it also helps direct the <strong>engine\u2019s computational effort<\/strong>. Not all insertions deserve the same calculation budget.<\/p>\n<p>The least promising solutions are discarded quickly through limited local evaluations. By contrast, the insertions achieving the highest scores subsequently benefit from:<\/p>\n<ul id=\"imglist\">\n<li>deeper neighbourhood exploration;<\/li>\n<li>local search mechanisms;<\/li>\n<li>or more computationally expensive improvement strategies.<\/li>\n<\/ul>\n<p>Scoring therefore becomes a genuine prioritisation mechanism for the search space. Once the evaluation phase is complete, candidate time slots can be ranked according to their operational quality in order to automatically guide the selection of the most relevant insertions.<\/p>\n<p>This prioritisation is essential to maintain:<\/p>\n<ul id=\"imglist\">\n<li>response times compatible with real-time operations;<\/li>\n<li>while still preserving an excellent level of optimisation quality.<\/li>\n<\/ul>\n<div id=\"attachment_127803\" style=\"width: 1610px\" class=\"wp-caption aligncenter\"><img decoding=\"async\" aria-describedby=\"caption-attachment-127803\" class=\"wp-image-127803\" style=\"border-radius: 5px;\" src=\"https:\/\/antsroute.com\/wp-content\/uploads\/dynamic-route-insertion-3.webp\" alt=\"AntsRoute interface displaying the addition of a delivery with automatic availability search, multiple suggested time slots across different days, and a map of optimised routes showing drivers\u2019 itineraries and stops.\" width=\"1600\" height=\"945\" srcset=\"https:\/\/antsroute.com\/wp-content\/uploads\/dynamic-route-insertion-3.webp 1946w, https:\/\/antsroute.com\/wp-content\/uploads\/dynamic-route-insertion-3-300x177.webp 300w, https:\/\/antsroute.com\/wp-content\/uploads\/dynamic-route-insertion-3-1024x605.webp 1024w, https:\/\/antsroute.com\/wp-content\/uploads\/dynamic-route-insertion-3-768x453.webp 768w, https:\/\/antsroute.com\/wp-content\/uploads\/dynamic-route-insertion-3-1536x907.webp 1536w, https:\/\/antsroute.com\/wp-content\/uploads\/dynamic-route-insertion-3-127x75.webp 127w, https:\/\/antsroute.com\/wp-content\/uploads\/dynamic-route-insertion-3-700x413.webp 700w\" sizes=\"(max-width:767px) 700px, (max-width:1600px) 100vw, 1600px\" \/><p id=\"caption-attachment-127803\" class=\"wp-caption-text\">Adding a delivery with availability search in AntsRoute.<\/p><\/div>\n<h2 id=\"why-a-score-must-remain-explainable\"><span id=\"Why_a_score_must_remain_explainable\">Why a score must remain explainable<\/span><\/h2>\n<p>In many optimisation systems, one of the main issues concerns decision opacity. An engine that produces a solution without being able to explain why one insertion was selected, why another was rejected, or which constraints influenced the arbitration becomes difficult to operate in practice.<\/p>\n<p>At AntsRoute, the scoring system is therefore designed to remain interpretable. The main components of the score remain readable and analysable, including:<\/p>\n<ul id=\"imglist\">\n<li>the marginal cost;<\/li>\n<li>the penalties applied;<\/li>\n<li>feasibility;<\/li>\n<li>temporal quality;<\/li>\n<li>reorganisation potential.<\/li>\n<\/ul>\n<p>This explainability not only helps users better understand the trade-offs made by the engine, but also strengthens operational teams\u2019 trust in the proposed decisions.<\/p>\n<h2><span id=\"Conclusion\">Conclusion<\/span><\/h2>\n<p>In a modern route optimisation engine, scoring is not simply about calculating additional distance. It acts as a multi-criteria evaluation system capable of measuring:<\/p>\n<ul id=\"imglist\">\n<li>the geographic quality of an insertion;<\/li>\n<li>its temporal robustness;<\/li>\n<li>its business feasibility;<\/li>\n<li>its operational consistency;<\/li>\n<li>and its future impact on the schedule.<\/li>\n<\/ul>\n<p>This approach enables the engine to move beyond purely local reasoning in order to rank solutions at the scale of the overall system. Because in last-mile operations, a good decision is not simply a feasible one: it is a decision capable of sustainably preserving the operational balance of the schedule.[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=&#8221;vc_hidden-xs Extra Small Screen vc_hidden-sm Small Screen&#8221; width=&#8221;2\/12&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner][vc_column_inner width=&#8221;2\/12&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;8\/12&#8243;][vc_separator color=&#8221;custom&#8221; accent_color=&#8221;#00041f&#8221;][vc_column_text css=&#8221;&#8221;]\n<p class=\"text-head\" style=\"color: #424762;\">WRITTEN BY<\/p>\n<p><img decoding=\"async\" class=\"alignnone size-medium wp-image-85398\" style=\"border-radius: 100%;\" src=\"https:\/\/antsroute.com\/wp-content\/uploads\/marie-henrion-antsroute-300x300.jpg\" alt=\"\" width=\"70\" height=\"70\" srcset=\"https:\/\/antsroute.com\/wp-content\/uploads\/marie-henrion-antsroute-300x300.jpg 300w, https:\/\/antsroute.com\/wp-content\/uploads\/marie-henrion-antsroute-150x150.jpg 150w, https:\/\/antsroute.com\/wp-content\/uploads\/marie-henrion-antsroute-146x146.jpg 146w, https:\/\/antsroute.com\/wp-content\/uploads\/marie-henrion-antsroute-50x50.jpg 50w, https:\/\/antsroute.com\/wp-content\/uploads\/marie-henrion-antsroute-75x75.jpg 75w, https:\/\/antsroute.com\/wp-content\/uploads\/marie-henrion-antsroute-85x85.jpg 85w, https:\/\/antsroute.com\/wp-content\/uploads\/marie-henrion-antsroute-80x80.jpg 80w, https:\/\/antsroute.com\/wp-content\/uploads\/marie-henrion-antsroute.jpg 416w\" sizes=\"(max-width:767px) 70px, 70px\" \/><\/p>\n<p class=\"text-head\"><span style=\"font-size: 25px;\"><strong><a style=\"text-decoration: none;\" href=\"https:\/\/antsroute.com\/en\/blog\/author\/marie-henrion\/\">Marie Henrion<\/a><\/strong><\/span><br \/>\nAt AntsRoute, Marie has been the marketing manager since 2018. With a focus on last-mile logistics, she produces content that simplifies complex topics such as route optimization, the ecological transition, and customer satisfaction.<\/p>\n<div id=\"cta\"><a class=\"button-3\" href=\"https:\/\/www.linkedin.com\/in\/mariehenrion54\/\" target=\"_blank\" rel=\"noopener\">in<\/a><\/div>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;2\/12&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=&#8221;1\/12&#8243; el_class=&#8221;vc_hidden-xs Extra Small Screen vc_hidden-sm Small Screen&#8221;][\/vc_column][\/vc_row][vc_row el_class=&#8221;padding-block&#8221; css=&#8221;.vc_custom_1705329750413{background-color: #00041f !important;}&#8221;][vc_column][vc_column_text css=&#8221;&#8221;]\n<p class=\"h2-footer\" style=\"text-align: center; color: #ffffff;\">Optimise your Routes with AntsRoute.<\/p>\n<p class=\"text-head\" style=\"text-align: center; color: #bfc0c6;\">Free 7-day trial | No credit card required<\/p>\n[\/vc_column_text][vc_row_inner][vc_column_inner][vc_column_text]\n<div id=\"cta\" style=\"text-align: center;\"><a class=\"btn-grad\" style=\"align-self: center;\" href=\"https:\/\/app.antsroute.com\/subscription\/creation\" target=\"_blank\" rel=\"noopener\"><strong>Get started<\/strong> \u2013 It&#8217;s free<\/a> <a class=\"button-2-white\" style=\"align-self: center;\" href=\"https:\/\/calendly.com\/lea-brice-antsroute\/demonstration\" target=\"_blank\" rel=\"noopener\">Book a demo<\/a><\/div>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]\n<\/div><div id=\"toc_container\" class=\"toc_wrap_right no_bullets\"><p class=\"toc_title\">Contenu<\/p><ul class=\"toc_list\"><li><a href=\"#Scoring_is_an_arbitration_mechanism\">Scoring is an arbitration mechanism<\/a><\/li><li><a href=\"#Not_all_feasible_insertions_are_equal\">Not all feasible insertions are equal<\/a><\/li><li><a href=\"#First_layer_of_scoring_the_marginal_insertion_cost\">First layer of scoring: the marginal insertion cost<\/a><\/li><li><a href=\"#The_score_must_incorporate_the_temporal_quality_of_the_route\">The score must incorporate the temporal quality of the route<\/a><\/li><li><a href=\"#The_score_also_measures_geographic_consistency\">The score also measures geographic consistency<\/a><\/li><li><a href=\"#Hard_constraints_and_soft_constraints_two_very_different_approaches\">Hard constraints and soft constraints: two very different approaches<\/a><\/li><li><a href=\"#The_score_must_also_measure_future_reorganisation_potential\">The score must also measure future reorganisation potential<\/a><\/li><li><a href=\"#Scoring_is_also_used_to_guide_algorithmic_exploration\">Scoring is also used to guide algorithmic exploration<\/a><\/li><li><a href=\"#Why_a_score_must_remain_explainable\">Why a score must remain explainable<\/a><\/li><li><a href=\"#Conclusion\">Conclusion<\/a><\/li><\/ul><\/div>\n","protected":false},"excerpt":{"rendered":"<p>find out how a multi-criteria scoring algorithm evaluates candidate insertions in a route optimisation engine: distance, time windows, business constraints, robustness and schedule reorganisation.<\/p>\n","protected":false},"author":9,"featured_media":127900,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22963,22934,6282],"tags":[],"class_list":["post-127892","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-route-optimisation","category-solutions"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.0 - 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Logiciel d&#039;optimisation de tourn\u00e9es | Planifier &amp; Suivre | Route Optimization Software | Plan &amp; Track","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/antsroute.com\/en\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/antsroute.com\/en\/solutions\/scoring-algorithm-route-optimisation\/#primaryimage","url":"https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-2.webp","contentUrl":"https:\/\/antsroute.com\/wp-content\/uploads\/scoring-algorithm-route-optimisation-2.webp","width":850,"height":535},{"@type":"WebPage","@id":"https:\/\/antsroute.com\/en\/solutions\/scoring-algorithm-route-optimisation\/#webpage","url":"https:\/\/antsroute.com\/en\/solutions\/scoring-algorithm-route-optimisation\/","name":"Scoring algorithm: how the engine assesses routes","isPartOf":{"@id":"https:\/\/antsroute.com\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/antsroute.com\/en\/solutions\/scoring-algorithm-route-optimisation\/#primaryimage"},"datePublished":"2026-05-27T15:29:11+00:00","dateModified":"2026-05-27T15:29:11+00:00","author":{"@id":"https:\/\/antsroute.com\/en\/#\/schema\/person\/38db92fb0f886fb05dd3dd4453c4d202"},"description":"find out how a multi-criteria scoring algorithm evaluates candidate insertions in a route optimisation engine: distance, time windows, business constraints, robustness and schedule reorganisation.","breadcrumb":{"@id":"https:\/\/antsroute.com\/en\/solutions\/scoring-algorithm-route-optimisation\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/antsroute.com\/en\/solutions\/scoring-algorithm-route-optimisation\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/antsroute.com\/en\/solutions\/scoring-algorithm-route-optimisation\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"AntsRoute","item":"https:\/\/antsroute.com\/en\/"},{"@type":"ListItem","position":2,"name":"How a scoring algorithm works in route optimisation"}]},{"@type":"Person","@id":"https:\/\/antsroute.com\/en\/#\/schema\/person\/38db92fb0f886fb05dd3dd4453c4d202","name":"Marie Henrion","description":"Chez AntsRoute, Marie est responsable marketing depuis 2018. 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