CBGA-ES: A Cluster-Based Genetic Algorithm with Elitist Selection for Supporting Multi-Objective Test Optimization.
Dipesh PradhanShuai WangShaukat AliTao YueMarius LiaaenPublished in: ICST (2017)
Keyphrases
- multi objective
- optimization algorithm
- genetic algorithm
- evolutionary algorithm
- multiobjective optimization
- multiple objectives
- nsga ii
- multi objective optimization
- optimization problems
- immune genetic algorithm
- evolutionary optimization
- optimum design
- optimization method
- conflicting objectives
- multi objective evolutionary algorithms
- particle swarm
- evolution strategy
- engineering design problems
- particle swarm optimization
- crossover and mutation
- real coded
- fitness function
- pareto optimal
- differential evolution
- mutation operator
- evolutionary computation
- evolutionary strategy
- single objective optimization
- genetic programming
- selection operator
- selection scheme
- parameter optimization
- objective function
- selection strategy
- bi objective
- metaheuristic
- multiobjective evolutionary algorithm
- simulated annealing
- estimation of distribution algorithms
- multi objective optimization problems
- genetic operators
- fitness evaluation
- global search
- crossover operator
- pareto optimal solutions
- selection algorithm
- optimization methods
- particle swarm optimization pso
- fine tuning
- multi objective evolutionary
- decision makers
- tabu search
- combinatorial optimization
- multi objective genetic algorithm
- knapsack problem
- engineering problems