Particle Swarm Optimization with Adaptive Bounds. IEEE Congress on Evolutionary Computation
Particle Swarm Optimization (PSO) is a stochastic optimization approach that originated from early attempts to simulate the behavior of birds looking for food. Estimation of distributions algorithms (EDAs) are a class of evolutionary algorithms that build and maintain a probabilistic model capturing...
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2012
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| Online Access: | http://hdl.handle.net/11675/967 |
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