Constrained Optimization by Combining the α Constrained Method with Particle Swarm Optimization
نویسندگان
چکیده
Recently, Particle Swarm Optimization (PSO) has been applied to various application fields. In this paper, a new optimization method “α Constrained Particle Swarm Optimizer (αPSO)”, which is the combination of the α constrained method and PSO, is proposed. The αPSO is applied to several test problems such as nonlinear programming problems and problems with non-convex constraints. It is compared with GENOCOP5.0 which is one of the famous constrained optimization systems. It is shown that the αPSO is a very fast and good optimization algorithm for constrained optimization problems.
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