A PSO-based bacterial chemotaxis algorithm and its application
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
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Difficulties likely exist in optimal reservoir operation along with discreteness and nonlinear constraints. Therefore, Particle Swarm Optimization based on Cultural Algorithm (PSO-CA) is presented in this paper for overcoming these defects. In this article the evolutionary mechanism of Particle Swarm Optimization Algorithm (PSO) is guided by Cultural Algorithm (CA). PSO-CA uses PSO in population space and guides the evolution by shape knowledge and standardization knowledge in belief space. An example is also used to show that the PSO-CA algorithm has a better applied prospect for its high reliability and fast operation speed in global optimization.