|Global Journal of Technology and Optimization is appropriate incredible journal in Particle Swarm Optimization. Global Journal of Technology and Optimization (GJTO), an Open Access peer-reviewed International journal promotes ongoing research and information exchange.
Particle Swarm Optimization method in coping with Constrained Optimization problems is investigated in this contribution. In the adopted approach a non-stationary multi stage assignment penalty function is incorporated, and several experiments are performed on well known and widely used benchmark problems. The obtained results are reported and compared with those obtained through dierent evolutionary algorithms, such as Evolution Strategies and Genetic Algorithms. Conclusions are derived and directions of future research are exposed.
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