用安第斯秃鹰算法求解连续域问题的初步实验

B. Almonacid
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引用次数: 1

摘要

本文进行了一个初步的实验,描述了一套能够解决安第斯秃鹰算法中集成的连续域问题的元素和过程。安第斯秃鹰算法是一种群智能的元启发式算法,其灵感来自于安第斯秃鹰寻找食物的运动模式。一个实验重点解决了德容函数1的问题\(f(x_1 \cdots x_n) = \sum_{i=1}^n x_i^2,~ -100 \leq x_i \leq 100\)。根据得到的结果,得到了接近于问题整体最优值的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preliminary experiments with the Andean Condor Algorithm to solve problems of Continuous Domains
In this article a preliminary experiment is carried out in which a set of elements and procedures are described to be able to solve problems of continuous domains integrated in the Andean Condor Algorithm. The Andean Condor Algorithm is a metaheuristic algorithm of swarm intelligence inspired by the movement pattern of the Andean condor when searching for its food. An experiment focused on solving the problem of the function 1st De Jong's \(f(x_1 \cdots x_n) = \sum_{i=1}^n x_i^2,~ -100 \leq x_i \leq 100\). According to the results obtained, solutions have been obtained close to the overall optimum value of the problem.
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