A new evolutionary algorithm for function optimization
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A new algorithm based on genetic algorithm(GA) is developed for solving function optimization problems with inequality constraints. This algorithm has been used to a series of standard test problems and exhibited good performance. The computation results show that its generality, precision, robustness, simplicity and performance are all satisfactory.
Key wordsevolutionary algorithm function optimization problem inequality constraints
CLC numberTP 301.6 O 224
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