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An Improved Binary Particle Swarm Optimizer |
XU YiChun, XIAO RenBin |
CAD Center, Huazhong University of Science and Technology, Wuhan 430074 |
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Abstract To solve 01 integer programming, an improved optimizer is proposed based on Kenney and Eberhart's binary particle swarm optimizer (BPSO). In the proposed optimizer (IBPSO) the probability calculation is simplified. The probability of the position vector depends on the values of the global best position and the private best position, and the current position does not affect the next position any more. On the test functions of De Jong, IBPSO performs better than BPSO. The results of IBPSO on the knapsack problem show IBPSO has higher convergence speed than the genetic algorithm.
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Received: 18 September 2006
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