Optimum structural design by particle swarm optimization with passive congregation

Today it is aimed to supply better and more qualified product and services in engineering and other fields. To realize this aim, it is needed to use optimization techniques in products? structure and visional design in used materials.In this study, particle swarm optimization with passive congregation is examined using one of the heuristic methods. Particle swarm optimization with passive congregation algorithm is an optimization tecnique that is inspired by the social interaction of animals. Particle swarm optimization with passive congregation is used for guidance to population of algorithm modeled by interaction within search space.For evaluation of PSOPC, three special functions for are used performans test in literature. These functions? optimum values are searched with, PSOPC and genetic algorithm. By directions of these studies, it is proved that algorithm can be used for structural design. A beam and a spring problem for structural optimization are considered.