: A Cluster-Based Genetic Algorithm with Non-Dominated Elitist Selection for Supporting Multi-Objective Test Optimization.
Dipesh PradhanShuai WangShaukat AliTao YueMarius LiaaenPublished in: IEEE Trans. Software Eng. (2021)
Keyphrases
- multi objective
- genetic algorithm
- evolutionary algorithm
- optimization algorithm
- multiobjective optimization
- nsga ii
- multiple objectives
- multi objective optimization
- optimization problems
- evolutionary optimization
- immune genetic algorithm
- optimization method
- multi objective evolutionary algorithms
- evolution strategy
- conflicting objectives
- optimum design
- fitness function
- particle swarm optimization
- fitness evaluation
- multi objective optimization problems
- real coded
- engineering design problems
- particle swarm
- differential evolution
- evolutionary strategy
- evolutionary computation
- objective function
- pareto optimal
- mutation operator
- genetic programming
- single objective optimization
- estimation of distribution algorithms
- simulated annealing
- crossover and mutation
- candidate solutions
- genetic operators
- strength pareto evolutionary algorithm
- pareto optimal solutions
- crossover operator
- fine tuning
- bi objective
- selection algorithm
- optimization methods
- selection operator
- engineering problems
- multiobjective evolutionary algorithm
- selection scheme
- optimization process
- global optimization
- particle swarm optimization pso
- genetic algorithm ga
- metaheuristic
- parameter optimization
- global search