Title
jMetal: A Java framework for multi-objective optimization
Abstract
This paper describes jMetal, an object-oriented Java-based framework aimed at the development, experimentation, and study of metaheuristics for solving multi-objective optimization problems. jMetal includes a number of classic and modern state-of-the-art optimizers, a wide set of benchmark problems, and a set of well-known quality indicators to assess the performance of the algorithms. The framework also provides support to carry out full experimental studies, which can be configured and executed by using jMetal's graphical interface. Other features include the automatic generation of statistical information of the obtained results, and taking advantage of the current availability of multi-core processors to speed-up the running time of the experiments. In this work, we include two case studies to illustrate the use of jMetal in both solving a problem with a metaheuristic and designing and performing an experimental study.
Year
DOI
Venue
2011
10.1016/j.advengsoft.2011.05.014
Advances in Engineering Software
Keywords
Field
DocType
software tool,multi-objective optimization,graphical interface,full experimental study,object-oriented java-based framework,metaheuristics,performance assessment support,experimental study,automatic generation,modern state-of-the-art optimizers,wide set,case study,java framework,current availability,experimentation,object-oriented architecture,benchmark problem,object oriented,multi objective optimization,multi core processor
Software tool,Computer science,Multi-objective optimization,Theoretical computer science,Graphical user interface,Artificial intelligence,Optimization problem,Metaheuristic,Mathematical optimization,Java collections framework,Object oriented architecture,Java,Machine learning
Journal
Volume
Issue
ISSN
42
10
Advances in Engineering Software
Citations 
PageRank 
References 
404
9.39
31
Authors
2
Search Limit
100404
Name
Order
Citations
PageRank
Juan J. Durillo174725.47
Antonio J. Nebro2111854.62