Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Heuristic approaches to vehicle routing with backhauls and time windows
Computers and Operations Research
MACS-VRPTW: a multiple ant colony system for vehicle routing problems with time windows
New ideas in optimization
The vehicle routing problem
A Hybrid Genetic Algorithm For The Vehicle Routing Problem With Time Windows
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
GVR: A New Genetic Representation for the Vehicle Routing Problem
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
Vehicle Routing Problem: Doing It The Evolutionary Way
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
2-Path Cuts for the Vehicle Routing Problem with Time Windows
Transportation Science
A genetic algorithm for unmanned aerial vehicle routing
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A Hybrid Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Time Windows
Computational Optimization and Applications
An evolutionary-based decision support system for vehicle routing: The case of a public utility
Decision Support Systems
Multi-objective UAV mission planning using evolutionary computation
Proceedings of the 40th Conference on Winter Simulation
EMO '09 Proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization
Route optimisation using evolutionary approaches for on-demand pickup problem
International Journal of Advanced Intelligence Paradigms
Optimization of Transport Plan for On-Demand Bus System Using Electrical Vehicles
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
A hybrid algorithm for vehicle routing problem with time windows
Expert Systems with Applications: An International Journal
Simulation evaluation for on-demand bus system with electrical vehicles
Intelligent Decision Technologies - Special issue on design of intelligent environment
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A comparative study is made between a new evolutionary approach for the Vehicle Routing Problem (VRP) and a standard evolutionary model, based on Path Representation. Genetic Vehicle Representation (GVR) is the new two-level representational scheme designed to deal in an effective way with all the information needed by candidate solutions. Experimental results, obtained from a set of VRP instances, show performance improvements when GVR is used.