Surrogate assisted Simulated Annealing (SASA) for constrained multi-objective optimization.
Hemant Kumar SinghTapabrata RayWarren SmithPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- multi objective optimization
- simulated annealing
- evolutionary algorithm
- multi objective
- genetic algorithm
- metaheuristic
- tabu search
- evolutionary computation
- constrained multi objective optimization problems
- differential evolution
- solution quality
- multi objective optimization problems
- fitness function
- multiple objectives
- benchmark problems
- optimization algorithm
- pareto optimal
- nsga ii
- optimization method
- genetic programming
- hybrid evolutionary algorithm
- combinatorial optimization
- optimization problems
- bi objective
- particle swarm optimization pso
- pareto optimal set
- estimation of distribution algorithms
- crossover and mutation
- ant colony optimization
- genetic operators
- genetic algorithm ga
- multiobjective optimization
- multi objective genetic algorithm
- pareto dominance
- solving multi objective optimization problems
- dynamic programming