The jMetal Framework for Multi-Objective Optimization: Design and Architecture

被引：0
|
作者：
Durillo, Juan J. [1 ]
Nebro, Antonio J. [1 ]
Alba, Enrique [1 ]
机构：
[1] Univ Malaga, Dept Lenguajes & Ciencias Computac, E-29071 Malaga, Spain
来源：
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2010年
关键词：
EVOLUTIONARY ALGORITHMS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
jMetal is a Java-based framework for multi-objective optimization using metaheuristics. It is a flexible, extensible, and easy-to-use software package that has been used in a wide range of applications. In this paper, we describe the design issues underlying jMetal, focusing mainly on its internal architecture, with the aim of offering a comprehensive view of its main features to interested researchers. Among the covered topics, we detail the basic components facilitating the implementation of multi-objective metaheuristics (solution representations, operators, problems, density estimators, archives), the included quality indicators to assess the performance of the algorithms, and jMetal's support to carry out full experimental studies.
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页数：8
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