DNA sequence optimization using constrained multi-objective evolutionary algorithm

被引：0
|
作者：
Lee, IH [1 ]
Shin, SY [1 ]
Zhang, BT [1 ]
机构：
[1] Seoul Natl Univ, Sch Engn & Comp Sci, Biointelligence Lab, Seoul, South Korea
来源：
CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：2270 / 2276
页数：7
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