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MOEA Framework
The MOEA Framework is an open-source evolutionary computation library for Java that specializes in multi-objective optimization. It supports a variety of multiobjective evolutionary algorithms (MOEAs), including genetic algorithms, genetic programming, grammatical evolution, differential evolution, and particle swarm optimization. As a result, it has been used to conduct numerous comparative studies to assess the efficiency, reliability, and controllability of state-of-the-art MOEAs.
== Features ==
The MOEA Framework is an extensible framework for rapidly designing, developing, executing, and statistically testing multiobjective evolutionary algorithms (MOEAs). It features 25 different state-of-the-art MOEAs and over 80 analytical test problems. It supports NSGA-II, it's recently introduced successor NSGA-III epsilon-MOEA, GDE3., and MOEA/D. natively. In addition, it integrates with the JMetal, Platform and Programming Language Independent Interface for Search Algorithms (PISA), and Borg MOEA libraries to provide access to all popular MOEAs. Additionally, using Java's service provider interface (SPI), new MOEAs and problems can be introduced into the framework. This supports the use of the MOEA Framework in scientific studies, allowing new MOEAs to be tested against a suite of state-of-the-art algorithms across a large collection of test problems.
New problems are defined in the MOEA Framework using one or more decision variables of a varying type. This includes common representations such as binary strings, real-valued numbers, and permutations. It additionally supports evolving grammars in Backus–Naur Form and programs using an internal Turing complete programming language. Once the problem is defined, the user can optimize the problem using any of supported MOEAs.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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