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Artificial Searching Swarm Algorithm (ASSA) is a novel optimization algorithm. This paper presents the comparison results on the performance of the ASSA for solving constrained optimization problems. The penalty function method and non-parameter penalty method are applied to a set of constrained problem. The simulation results show that ASSA is an efficient(More)
Artificial Searching Swarm Algorithm (ASSA) is a new optimization algorithm. This paper presents two type behaviors rules of searching swarm, and discusses the performance of the algorithm based on the different rules. By analyzing the simulation results, an improved ASSA with mutative searching step is proposed. The function simulation tests prove that the(More)
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