Parameter-Free Deterministic Global Search with Simplified Central Force Optimization

被引：0
|
作者：
Formato, Richard A.
机构：
来源：
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS | 2010年 / 6215卷
关键词：
Central Force Optimization CFO; Deterministic Algorithm; Multidimensional Search and Optimization; Parameter-Free Optimization; Gravitational Kinematics; Metaphor Metaheuristic;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This note describes a simplified parameter free implementation of Central Force Optimization for use in deterministic multidimensional search and optimization The user supplies only the objective function to be maxi allied nothing mote The algorithm's performance is tested against a widely used suite of twenty three benchmark functions and compared to other state-of-the in algorithms CFO performs very well
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收藏
页码：309 / 318
页数：10
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