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Extra resources for Advanced Intelligent Computing Theories and Applications With Aspects of Contemporary Intelligent Computing Techniques: 4th International Conference on ... in Computer and Information Science)
J. Prod. Res. 32(10), 2431–2454 (1994) 8. : A Genetic Algorithm for Multiple Objective Sequencing Problems in Mixed Model Assembly Lines. Comput. Oper. Res. 25(7/8), 675–690 (1998) 9. : A Genetic-Algorithm-Based Optimization Model for Scheduling Flexible Assembly Lines. Int. J. Adv. Manuf. Technol. 1007/s00170-006-0818-6 10. : Multi-Criteria Sequencing Problem for a Mixed-Model Assembly Line in a JIT Production System. Appl. Math. Comput. 181, 1471–1481 (2006) 11. : Scheduling of an Assembly Line with a Multi-Objective Genetic Algorithm.
4) Stopping criterion. The stopping criterion of the AC algorithm could be the maximal number of running cycles or the CPU time limit. 3 Vehicle Routing Problem The Vehicle Routing Problem (VRP) is described as a weighted graph G=
Cn Abstract. Vehicle routing problem becomes more remarkable with the development of modern logistics. Ant colony and genetic algorithm are combined for solving vehicle routing problem. GA can overcome the drawback of premature and weak exploitation capabilities of ant colony and converge to the global optimal quickly. The performance of the proposed method as compared to those of the genetic-based approaches is very promising. Keywords: ant colony, vehicle routing problem, genetic algorithm. 1 Introduction Many heuristic methods currently used in combinatorial optimization are inspired by adaptive natural behaviors or natural systems, such as genetic algorithms, simulated annealing, neural networks, etc.