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This paper introduces a novel heuristic search and optimization algorithm in order to find the maximum/minimum values of mathematical functions, by mimicking a certain community behavior seen in human beings. The intense search procedure in selected search areas followed by soldiers/policemen while capturing convicts/terrorists is followed here. Initial results obtained for some benchmark functions...
In this paper, an improved multi-objective particle swarm optimization algorithm (mPSO-DHA) with a dynamic hypercube archive (DHA), mutation and population competition is presented to enhance the performance of PSO in solving multi-objective optimization problems. The proposed algorithm considers a modification of the hyper-cube archiving method originally proposed in 2002 by Coello and Lechuga, and...
In dynamic environments, the optimal solution changes over time. To track the solution, an improved univariate marginal distribution algorithm (UMDA) is proposed. A transfer model is introduced to increase the diversity of population. The current information is used to avoid being trapped into the local optimization for dynamic optimization problems. The scheme is illustrated through simulations applying...
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