Essec\Faculty\Model\Contribution {#2233 ▼
#_index: "academ_contributions"
#_id: "15563"
#_source: array:26 [
"id" => "15563"
"slug" => "15563-a-genetic-approach-to-the-operational-freight-on-transit-problem"
"yearMonth" => "2025-04"
"year" => "2025"
"title" => "A Genetic Approach to the Operational Freight-on-Transit Problem"
"description" => "JUVIGNY, C., DELLE DONNE, D. et ALFANDARI, L. (2025). A Genetic Approach to the Operational Freight-on-Transit Problem. Dans: <i>Evolutionary Computation in Combinatorial Optimization</i>. Springer Cham, pp. 116-132. 
JUVIGNY, C., DELLE DONNE, D. et ALFANDARI, L. (2025). A Genetic Approach to the Operational Freight- "
"authors" => array:3 [
0 => array:3 [
"name" => "DELLE DONNE Diego"
"bid" => "B00788133"
"slug" => "delle-donne-diego"
]
1 => array:3 [
"name" => "ALFANDARI Laurent"
"bid" => "B00000901"
"slug" => "alfandari-laurent"
]
2 => array:1 [
"name" => "JUVIGNY Corentin"
]
]
"ouvrage" => "Evolutionary Computation in Combinatorial Optimization"
"keywords" => []
"updatedAt" => "2025-04-03 01:00:50"
"publicationUrl" => "https://doi.org/10.1007/978-3-031-86849-8_8"
"publicationInfo" => array:3 [
"pages" => "116-132"
"volume" => "2025"
"number" => ""
]
"type" => array:2 [
"fr" => "Actes d'une conférence"
"en" => "Conference Proceedings"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Last-mile delivery problems have become a subject of increasing academic study in recent years. This paper examines the operational level Three-Tier Delivery Problem with Public Transportation (3T-DPPT), which concerns the conveyance of customers’ parcels from a warehouse, typically situated outside the city, to the customers in the city center, using public transport vehicles as an intermediate leg. The parcels are conveyed from the depot to public transport stops, then taken into the city center by public transportation vehicles, and finally delivered to the customers by freighters using green and lightweight means (or even walking). In this paper, we introduce a genetic algorithm (GA) to address the resolution of large-scale instances, which exact approaches in practice cannot tackle. We provide a detailed account of its encoding and the distinct genetic operators tailored for it. We undertake a comparative analysis of its performance vis-à-vis that of a compact mixed-integer linear programming formulation on a diverse array of instances of various sizes. The outcomes underscore the efficacy and robustness of the GA approach across different instance sizes, yielding solutions that are near the optimal ones in a relatively short span of time. Last-mile delivery problems have become a subject of increasing academic study in recent years. This "
"en" => "Last-mile delivery problems have become a subject of increasing academic study in recent years. This paper examines the operational level Three-Tier Delivery Problem with Public Transportation (3T-DPPT), which concerns the conveyance of customers’ parcels from a warehouse, typically situated outside the city, to the customers in the city center, using public transport vehicles as an intermediate leg. The parcels are conveyed from the depot to public transport stops, then taken into the city center by public transportation vehicles, and finally delivered to the customers by freighters using green and lightweight means (or even walking). In this paper, we introduce a genetic algorithm (GA) to address the resolution of large-scale instances, which exact approaches in practice cannot tackle. We provide a detailed account of its encoding and the distinct genetic operators tailored for it. We undertake a comparative analysis of its performance vis-à-vis that of a compact mixed-integer linear programming formulation on a diverse array of instances of various sizes. The outcomes underscore the efficacy and robustness of the GA approach across different instance sizes, yielding solutions that are near the optimal ones in a relatively short span of time. Last-mile delivery problems have become a subject of increasing academic study in recent years. This "
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-04-06T07:21:40.000Z"
"docTitle" => "A Genetic Approach to the Operational Freight-on-Transit Problem"
"docSurtitle" => "Actes d'une conférence"
"authorNames" => "<a href="/cv/delle-donne-diego">DELLE DONNE Diego</a>, <a href="/cv/alfandari-laurent">ALFANDARI Laurent</a>, JUVIGNY Corentin <a href="/cv/delle-donne-diego">DELLE DONNE Diego</a>, <a href="/cv/alfandari-laurent">ALFANDARI Lau "
"docDescription" => "<span class="document-property-authors">DELLE DONNE Diego, ALFANDARI Laurent, JUVIGNY Corentin</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2025</span> <span class="document-property-authors">DELLE DONNE Diego, ALFANDARI Laurent, JUVIGNY Corentin</span "
"keywordList" => ""
"docPreview" => "<b>A Genetic Approach to the Operational Freight-on-Transit Problem</b><br><span>2025-04 | Actes d'une conférence </span> <b>A Genetic Approach to the Operational Freight-on-Transit Problem</b><br><span>2025-04 | Actes d'u "
"docType" => "research"
"publicationLink" => "<a href="https://doi.org/10.1007/978-3-031-86849-8_8" target="_blank">A Genetic Approach to the Operational Freight-on-Transit Problem</a> <a href="https://doi.org/10.1007/978-3-031-86849-8_8" target="_blank">A Genetic Approach to the Oper "
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.842864
+"parent": null
}
