Performance Measures of Metaheuristic Algorithms

被引：3
|
作者：
Kim, Joong Hoon [1 ]
Lee, Ho Min [1 ]
Jung, Donghwi [2 ]
Sadollah, Ali [2 ]
机构：
[1] Korea Univ, Sch Civil Environm & Architectural Engn, Seoul 136713, South Korea
[2] Korea Univ, Res Ctr Disaster Prevent Sci & Technol, Seoul 136713, South Korea
来源：
HARMONY SEARCH ALGORITHM | 2016年 / 382卷
关键词：
Fitness landscape; Metaheuristic algorithms; Nature-Inspired algorithms; Optimization; Performance measures; EVOLUTIONARY ALGORITHMS; HARMONY SEARCH; OPTIMIZATION;
D O I：
10.1007/978-3-662-47926-1_2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Generally speaking, it is not fully understood why and how metaheuristic algorithms work very well under what conditions. It is the intention of this paper to clarify the performance characteristics of some of popular algorithms depending on the fitness landscape of specific problems. This study shows the performance of each considered algorithm on the fitness landscapes with different problem characteristics. The conclusions made in this study can be served as guidance on selecting algorithms to the problem of interest.
引用
收藏
页码：11 / 17
页数：7
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