Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problem
Annals of Operations Research - Special issue on Tabu search
An Electromagnetism-like Mechanism for Global Optimization
Journal of Global Optimization
Performance of Various Computers Using Standard Linear Equations Software
Performance of Various Computers Using Standard Linear Equations Software
Component scheduling for chip shooter machines: a hybrid genetic algorithm approach
Computers and Operations Research
An electromagnetic meta-heuristic for the nurse scheduling problem
Journal of Heuristics
A Revised EM-like Mechanism for Solving the Vehicle Routing Problems
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
A hybrid genetic algorithm for the multi-depot vehicle routing problem
Engineering Applications of Artificial Intelligence
A hybrid electromagnetism-like algorithm for single machine scheduling problem
Expert Systems with Applications: An International Journal
A global optimization method for solving fuzzy relation equations
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Circle detection using electro-magnetism optimization
Information Sciences: an International Journal
Multiple Phase Neighborhood Search-GRASP for the Capacitated Vehicle Routing Problem
Expert Systems with Applications: An International Journal
Annals of Mathematics and Artificial Intelligence
Computers and Industrial Engineering
Hi-index | 12.05 |
Vehicle routing problems have been extensively analyzed within the last few decades, since they play a central role in optimization of distribution networks. This paper presents a new Hybrid Electromagnetism-like Algorithm for solving capacitated vehicle routing problems. Electromagnetism-like Algorithm is a population-based algorithm based on attraction-repulsion mechanisms between charged particles. A modified objective function value calculation approach, utilizing the Random-Key Procedure makes it possible for Electromagnetism-like Algorithm to solve known combinatorial optimization problems like capacitated vehicle routing problems. Here, the solutions obtained such are improved by a relatively new local search method, Iterated Swap Procedure, and tested on several benchmarking problems. The computational results show that the proposed Hybrid Electromagnetism-like Algorithm gives promising results within acceptable computational times when compared to other novel meta-heuristics.