A Sustainable Bi-objective Vehicle Routing Problem in Waste Collection

YAHIAOUI, Niama

dc.contributor.author	YAHIAOUI, Niama
dc.date.accessioned	2024-09-17T09:42:53Z
dc.date.available	2024-09-17T09:42:53Z
dc.date.issued	2024-07-03
dc.identifier.uri	http://hdl.handle.net/STDB_UNAM/554
dc.description.abstract	Sustainability and emissions reduction are paramount in modern waste management. This thesis explores the integration of circular economy principles with advanced optimization techniques to enhance resource efficiency and minimize environmental impact. By focusing on Multi-objective vehicle routing problems (VRP) and employing the optimization algorithm of Non-dominated Sorting Genetic Algorithm II (NSGA-II) for Bi-objective models. the research aims to optimize travel costs and CO2 emissions. The study demonstrates significant improvements in operational efficiency and sustainability, highlighting NSGA-II’s effectiveness in providing near-optimal solutions for complex, large-scale optimization challenges.	en_US
dc.language.iso	en	en_US
dc.publisher	Directeur: Mr Mehdi SOUIER / Co-Directeur: Mr Abdelghani BEKRAR	en_US
dc.subject	Circular Economy, Waste management, CO2 EMissions, Bi-objective Vehicle Routing Problem, Non-dominated Sorting Genetic Algorithm II (NSGA-II).	en_US
dc.title	A Sustainable Bi-objective Vehicle Routing Problem in Waste Collection	en_US
dc.type	Thesis	en_US