PENERAPAN COCKROACH SWARM OPTIMIZATION ALGORITHM (CSOA) PADA PENYELESAIAN PERSAMAAN POLINOMIAL YANG MEMILIKI AKAR KOMPLEKS

Ema Fahma Farikha, Rusli Hidayat, M. Arif
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Abstract

In this paper, we use a metaheuristic algorithm for solving non-linear equations (polynomial equations) which have a set of complex roots (complex numbers). The metaheuristic algorithm is the Cockroach Swarm Optimization Algorithm (CSOA) which imitate various types of natural cockroach behaviors such as chase-swarming, dispersing and ruthlessness when hunting for food sources. In this study, several examples of non-linear polynomial equations were used for evaluating the accuracy of CSOA. In this simulation, the accuracy comparison has been accomplished. It is shown that CSOA results are more accurate compared to the Newton-Raphson results. Keywords: Cockroach Swarm Optimization Algorithm, Complex roots of polynomial, Newton-Raphson, Non-Linear equation.
在本文中,我们使用一种元启发式算法来求解具有一组复根(复数)的非线性方程(多项式方程)。元启发式算法是蟑螂群优化算法(CSOA),它模仿蟑螂在寻找食物来源时的各种自然行为,如追逐群、分散和无情。在本研究中,使用了几个非线性多项式方程的例子来评估CSOA的准确性。在此仿真中,完成了精度比较。结果表明,CSOA结果比Newton-Raphson结果更准确。关键词:蟑螂群优化算法,多项式复根,牛顿-拉夫森,非线性方程
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