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.

引用

页数：8

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