Constrained Optimization Evolutionary Algorithm
نویسنده
چکیده
Constrained optimization evolutionary algorithm (COEA) is a mathematical programming problem frequently encountered in the field of engineering application. Solving constrained optimization problems by COEA has become an important research area of evolutionary computation in recent years. In this paper, the constrained optimization evolutionary algorithm is based on the quantum evolutionary algorithm. Some characteristic of QEA and lots of constrained optimization problems are taken into account and the COEA combines direct comparison method with the adaptive strategy which keeps a fixed proportion of infeasible individuals in quantum population. It has been integrated with QEA. Function simulation results show that CQEA proposed in this paper is effective. Key-Words: constrained optimization, evolutionary algorithm, quantum evolutionary, direct comparison, dynamic adaptive strategy
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تاریخ انتشار 2009