Description: This routine solves a two-goal optimization problem, using the weight coefficient method. Solving process used in the generation gap. Procedures are detailed in the Notes
- [mathmodel] - This a good model to study the informati
- [NSGA-II] - evolution, genetic method NSGA2 the sour
- [logistic] - Chaos Model logistc mapping procedures,
- [duomubiaoqiujie] - Pick as a result of evolutionary algorit
- [MOEAD] - Based on the differential of the multi-o
- [mopso] - pso solve mutiobjective
- [MOEA-D-DE] - Multi objective evoutionary algorithms
- [amosa] - Multi-objective optimization by simealte
- [epsmoea] - Epsilon-MOEA in C and C++
File list (Check if you may need any files):
MOEA
....\MOEA.m