An evolutionary algorithm with clustering-based selection strategies for multi-objective optimization.
Shenghao ZhouXiaomei MoZidong WangQi LiTianxiang ChenYujun ZhengWeiguo ShengPublished in: Inf. Sci. (2023)
Keyphrases
- selection strategies
- multi objective optimization
- evolutionary algorithm
- multi objective
- search strategies
- selection strategy
- fitness function
- evolutionary computation
- differential evolution
- optimization problems
- nsga ii
- genetic algorithm
- simulated annealing
- hybrid evolutionary algorithm
- genetic programming
- pareto optimal
- optimization algorithm
- multi objective optimization problems
- genetic operators
- multi objective genetic algorithm
- multiple objectives
- multiobjective optimization
- crossover and mutation
- solving multi objective optimization problems
- optimization method
- multi objective genetic algorithms
- pareto frontier
- crossover operator
- bi objective
- particle swarm optimization pso
- multi objective evolutionary algorithms
- evolutionary strategy
- tabu search
- metaheuristic
- particle swarm optimization
- search space