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opt4j-2.0
- Java平台的启发式优化算法，包含了多目标进化算法（SPEA2和NSGA2），多目标差异进化，PSO和单目标模拟退火算法。并且包含了ZDT,DTLZ和WFG等测试函数-Opt4J is a framework for applying meta-heuristic optimization algorithms to arbitrary optimization problems. The Opt4J framework currently includes a multi-obje
MOEA-D-Continuous
- 多目标优化程序，国际顶级期刊IEEE EC 经典算法-multi-objective optimization algorithm presented in journal of IEEE trans
MOEAD
- 基于分解的多目标智能优化算法，测试函数是DTLZ-Optimization algorithm, based on multi-objective intelligence test function decomposition is DTLZ
NSGA2
- 基于非支配排序的带有精英策略的多目标优化算法:NSGA-II,测试函数是DTLZ-Based on the non-dominated sorting multiobjective optimization algorithm with elitist strategy: NSGA-II, the test function is DTLZ
rm-meda
- 正则模型的分布估计算法,测试函数为ZDT,DTLZ,WFG等，在加噪时，进行优化，有四种噪声水平(RM-MEDA.Regular model distribution estimation algorithm, test function for zdt, dtlz, wfg, etc., when adding noise, optimization, there are four kinds of noise level)
DTLZ_PF_Generator
- DTLZ测试函数生成真实Pareto前端(DTLZ test function to generate true Pareto front)
DTLZ
- 用于多目标算法的测试，特别是高位多目标的效果比较好，大家可以试试。(Test for multi-objective algorithm)