Multiobjective Particle Swarm with Crowding Distance（多目标优化）-Multiobjective Particle Swarm with Crowding Distance (multi-objective optimization)

这是一个基于距离的多目标粒子群优化算法C语言实现-This is an implementation of MOPSO-CD,a multiobjective particle swarm optimization algorithm using crowding distance

形成策略被用来形成稳定的生态位，小生境/子种群被优化以并行地搜索和维护帕累托最优解。此外，还提出了一种自组织机制，以提高物种制定的效率和算法的性能。为了在决策空间和目标空间保持解决方案的多样性，SS-MOPSO采用了非主导排序方案和特殊拥挤距离技术。(In the proposed method, the speciation strategy is used to form stable niches and these niches/subpopulations are optimized