International Journal of Computational Science and Engineering
A chaotic PSO approach to multi-mode resource-constraint project scheduling with uncertainty
International Journal of Computational Science and Engineering
International Journal of Computational Science and Engineering
Particle swarm optimisation based on self-organisation topology driven by different fitness rank
International Journal of Computational Science and Engineering
A novel particle swarm algorithm for solving parameter identification problems on graphics hardware
International Journal of Computational Science and Engineering
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
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In order to overcome the drawback of basic particle swarm optimisation algorithm, such as being subject to fall into local optimisation and being poor in performance of precision, a chaos multi-population particle swarm optimisation algorithm has been proposed, and the algorithm has been effectively used in dealing with the optimisation of transportation continuous network design problem. In this algorithm, multi-population parallel tactics are introduced to improve the global optimising ability and the chaotic search which behaves well in local searching is introduced to improve the solution. The transportation continuous network design problem is solved based on chaos multi-population particle swarm optimisation algorithm. Two examples are presented to compare the proposed method with some existing algorithms. The simulation results show the new particle swarm optimisation algorithm can effectively alleviate the problem of premature convergence and strengthen the global searching ability. The algorithm presented in the paper can apply to solve the large scale traffic design problems.