DNA Sequence Optimization Using Constrained Multi-Objective Evolutionary Algorithm
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چکیده
Generating a set of the good DNA sequences needs to optimize multiple objectives and to satisfy several constraints. Therefore, it can be regarded as an instance of constrained multi-objective optimization problem. We apply the controlled elitist non-dominating sorting genetic algorithm with constrained tournament selection to this problem. First, multi-objective approach and constrained multi-objective approach are compared in terms of the effectiveness in finding feasible the solutions. Then the performance is evaluated by comparing with the good sequences published in literature.
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تاریخ انتشار 2003