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Erschienen in:
2001 | OriginalPaper | Buchkapitel
Modification of the Particle Swarm Optimizer for Locating All the Global Minima
verfasst von : K. E. Parsopoulos, M. N. Vrahatis
Erschienen in: Artificial Neural Nets and Genetic Algorithms
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
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In many optimization applications, escaping from the local minima as well as computing all the global minima of an objective function is of vital importance. In this paper the Particle Swarm Optimization method is modified in order to locate and evaluate all the global minima of an objective function. The new approach separates the swarm properly when a candidate minimizer is detected. This technique can also be used for escaping from the local minima which is very important in neural network training.