Improved hybrid Strength Pareto Evolutionary Algorithms for multi-objective optimization.
Shankar KrishnapillaiAkshay BaviskarPublished in: Int. J. Intell. Comput. Cybern. (2018)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- multi objective
- optimization problems
- differential evolution
- pareto optimal
- evolutionary computation
- genetic algorithm
- simulated annealing
- fitness function
- multiple objectives
- multi objective optimization problems
- hybrid evolutionary algorithm
- genetic operators
- nsga ii
- genetic programming
- optimization algorithm
- constrained optimization problems
- multiobjective optimization
- solving multi objective optimization problems
- multi objective genetic algorithm
- pareto dominance
- pareto optimal set
- evolutionary strategy
- particle swarm
- crossover operator
- multi objective genetic algorithms
- complex optimization problems
- metaheuristic
- neural network
- objective function
- cost function
- pareto frontier
- single objective optimization
- decision makers
- optimization method
- crossover and mutation
- pareto optimal solutions
- multi criteria
- estimation of distribution algorithms
- differential evolution algorithm
- mutation operator