Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem.
Jorge Parraga-AlavaMárcio DornMario Inostroza-PontaPublished in: CEC (2017)
Keyphrases
- search strategies
- multi criteria
- multi objective
- nsga ii
- evolutionary algorithm
- multi objective evolutionary algorithms
- search strategy
- multi objective optimization
- optimization algorithm
- pareto optimal
- multiobjective optimization
- search algorithm
- decision makers
- objective function
- multiple objectives
- optimization problems
- retrieval effectiveness
- heuristic search
- fuzzy logic
- differential evolution
- particle swarm optimization
- decision making
- search methods
- constraint programming
- multi attribute
- branch and bound
- search space
- optimal solution
- artificial intelligence
- genetic algorithm
- neural network
- fitness function
- fuzzy numbers
- test problems