《AFrameworkforInnovation》介绍了一款用于开发和实验多目标演化算法（MOEAs）和其他多目标优化算法的免费开源Java库。该框架支持遗传算法、差分进化、粒子群优化、遗传编程、语法演化等多种算法，并提供了多种现成的算法，如NSGA-II、ε-MOEA、GDE3和MOEA/D等。此外，它还提供了快速设计、开发、执行和统计测试优化算法所需的各种工具。
A Framework for Innovation
The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, ε-MOEA, GDE3 and MOEA/D. In addition, the MOEA Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms.
Key Features
- Fast, reliable implementations of many state-of-the-art multiobjective evolutionary algorithms
- Extensible with custom algorithms, problems and operators
- Modular design for constructing new optimization algorithms from existing components
- Permissive open source license
- Fully documented source code
- Over 1100 test cases to ensure validity
来源：http://www.moeaframework.org/
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