MH-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Maximin Fitness Function and the Hypervolume Indicator.
Adriana Menchaca-MendezCarlos A. Coello CoelloPublished in: PPSN (2014)
Keyphrases
- multi objective evolutionary algorithms
- fitness function
- hypervolume indicator
- genetic programming
- evolutionary algorithm
- genetic algorithm
- evolutionary computation
- genetic algorithm ga
- nsga ii
- multi objective optimization problems
- reference point
- solving multi objective optimization problems
- genetic operators
- evolutionary search
- crossover operator
- multi objective problems
- search space
- multiobjective evolutionary algorithm
- pareto optimal solutions
- pareto optimal set
- multi objective
- upper bound
- penalty function
- fitness evaluation
- multi objective optimization
- multiple objectives
- optimization problems
- candidate solutions
- particle swarm optimisation
- simulated annealing
- neural network
- bi objective
- expert systems
- differential evolution
- metaheuristic
- fuzzy logic