Conflict Resolution in Product Optimization Design based on Adaptive Particle Swarm Optimization

To resolving the conflict in engineering optimization design of highly complex and nonlinear constraints, a new particle swarm optimization algorithm with adaptive inertia weight is proposed. In this algorithm, inertia weight is adaptively changed according to the current evolution speed and aggregation degree of the swarm, which provides the algorithm with dynamic adaptability, enhances the search ability and convergence performance of the algorithm. Finally, the validity of the algorithm is verified through an optimization example. © 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]