The jMetal framework for multi-objective optimization: Design and architecture

Abstract-- jMetal is a Java-based framework for multiobjective optimization using metaheuristics. It is an ease-to-use, flexible, and extensible software package that has been used in a wide range of applications. In this paper, we describe the design issues underlying jMetal, focusing mainly in 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.

• Type: Conference
• Year: 2010
• Where: CEC
• Authors: Juan José Durillo, Antonio J. Nebro, Enrique Alba
• Keywords: Artificial Intelligence, CEC 2010, Extensible Software Package, Included Quality Indicators, Multiobjective Optimization