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.
