Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems

• Published in: Advances in Natural Computation pp. 582 - 591
• Main Authors: Parsopoulos, K. E., Vrahatis, M. N.
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Artificial intelligence; Computer science; control theory; systems; Design Variable; Exact sciences and technology; Gear Train; Particle Swarm Optimization; Particle Swarm Optimization Method; Penalty Function; Penalty function; Optimization method; Problem solving; Feasibility; Swarm intelligence; Constrained optimization; Mathematical programming

We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems. For this purpose, a penalty function approach is employed and the algorithm is modified to preserve feasibility of the encountered solutions. The algor...