CAJ | 학술논문

遗传算法在许多优化问题中都有成功的应用，但其本身也存在一些不足。如何改善遗传算法的搜索能力，使其兼顾收敛速度和搜索范围，能更好地解决实际问题，一直是智能计算领域主要的课题之一。本文就3种常见的种群维护策略进行了比较与讨论，并分析了不同策略的优劣之处。
유전산법재허다우화문제중도유성공적응용，단기본신야존재일사불족。여하개선유전산법적수색능력，사기겸고수렴속도화수색범위，능경호지해결실제문제，일직시지능계산영역주요적과제지일。본문취3충상견적충군유호책략진행료비교여토론，병분석료불동책략적우렬지처。
Genetic algorithms are successfully applied in many optimization procedures, but there are also some drawbacks of its own. How to improve the search capabilities of genetic algorithms to take into account the convergence speed and search range, and solve practical problems better, has been one of the main topics of intelligent computing field. In this paper, three common populations maintenance strategy are compared together, with the discussion and analysis of the strengths and weaknesses of different strategies.