Central Force Optimization with variable initial probes and adaptive decision space

被引：34

作者：

Formato, Richard A. ^{[1
]}

机构：

[1] Cataldo & Fisher LLC, Woburn, MA 01801 USA

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2011年 / 217卷 / 21期

关键词：

Central Force Optimization (CFO); Initial probe distribution; Adaptive decision space; Multidimensional search and optimization; Metaheuristic;

D O I：

10.1016/j.amc.2011.03.151

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

An implementation of Central Force Optimization (CFO) utilizing variable initial probes and decision space adaptation is presented. The algorithm is tested against a suite of benchmark functions and CFO's results compared to those of other algorithms. CFO performs well against the benchmarks, and also in scalability tests in 300-dimensions. (C) 2011 Elsevier Inc. All rights reserved.

引用

页码：8866 / 8872

页数：7

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