A Brief Survey on Intelligent Swarm-Based Algorithms for Solving Optimization Problems

S. M. Lim, K. Y. Leong
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引用次数: 15

Abstract

This chapter presents an overview of optimization techniques followed by a brief survey on several swarm-based natural inspired algorithms which were introduced in the last decade. These techniques were inspired by the natural processes of plants, foraging behaviors of insects and social behaviors of animals. These swam intelligent methods have been tested on various standard benchmark problems and are capable in solving a wide range of optimization issues including stochastic , robust and dynamic problems.
基于智能群的优化问题求解算法综述
本章概述了优化技术,然后简要介绍了过去十年中引入的几种基于群体的自然启发算法。这些技术的灵感来自植物的自然过程、昆虫的觅食行为和动物的社会行为。这些智能方法已经在各种标准基准问题上进行了测试,能够解决广泛的优化问题,包括随机、鲁棒和动态问题。
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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