Abstract: Evolutionary algorithms and genetic algorithms have been widely applied to routing optimization problems due to their outstanding performance. Among them, Sequential Constructive Crossover ...

Highest-recorded overall problems experienced since study redesign Premium vehicles less dependable than mass market counterparts Plug-in hybrids and EVs experience more problems than gas-powered ...

This project is an educational and research-oriented implementation that benchmarks and compares different metaheuristic algorithms for solving VRPTW problems. The VRPTW is a classic NP-hard ...

Abstract: This paper presents a comparative analysis in network structure, delivery units and customer interaction in Vehicle Routing Problem (VRP) and the Rail Container Scheduling Problem (RCSSP), ...