A Hybrid Co-evolutionary Particle Swarm Optimization Algorithm for Solving Constrained Engineering Design Problems
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| Title | A Hybrid Co-evolutionary Particle Swarm Optimization Algorithm for Solving Constrained Engineering Design Problems |
| Authors | |
| Abstract | This paper presents an effective hybrid co-evolutionary particle swarm optimization algorithm for solving constrained engineering design problems, which is based on simulated annealing (SA) , employing the notion of co-evolution to adapt penalty factors. By employing the SA-based selection for the best position of particles and swarms when updating the velocity in co-evolutionary particle swarm optimization algorithm. Simulation results based on well-known constrained engineering design problems demonstrate the effectiveness, efficiency and robustness on initial populations of the proposed, and can reach a high precision. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2010-06-01 |
| Source | Journal of Computers Vol 5, No 6 (2010): Special Issue: Recent Advances in Computer Science and Engineering - Track on C |
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