Using social cognitive optimization algorithm to solve nonlinear equations

Z. Cui, Xingjuan Cai
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引用次数: 33

Abstract

Finding feasible solution for a nonlinear equations is a very challenging problem and generally needs a high computational efforts. In this paper, a new swarm intelligent algorithm, social cognitive optimization algorithm (SCOA), is proposed to solve this problem. In SCOA, each individual simulates one natural person. All of them are communicated through cooperation and competition to increase social status. The winner with the highest status will be the final solution. Simulation results show this new algorithm can solve the problem significantly.
利用社会认知优化算法求解非线性方程
寻找非线性方程的可行解是一个非常具有挑战性的问题,通常需要大量的计算量。本文提出一种新的群体智能算法——社会认知优化算法(social cognitive optimization algorithm, SCOA)来解决这一问题。在SCOA中,每个个体模拟一个自然人。所有这些都是通过合作和竞争来提高社会地位。地位最高的胜者将是最终的解决方案。仿真结果表明,该算法能较好地解决这一问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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