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Particle swarm optimization with penalty mechanism is used in coping with constrained problems. Quantum behaved PSO has been proved efficient compared with PSO. In this paper, three mutation operators including Gaussian, Chaotic, Cauchy and Levy combined with PSO are studied. And three mechanisms are adopted as approach for constraints which are H, J and P strategy. Turbulence operations are come...
Bacterial foraging optimization (BFO) is a recently developed nature-inspired optimization algorithm, which is based on the foraging behavior of E. coli bacteria. However, BFO possesses a poor convergence behavior over complex optimization problems as compared to other nature-inspired optimization techniques like genetic algorithm (GA) and particle swarm optimization (PSO). This paper first analyzes...
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