A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization.
Junwei OuJinhua ZhengGan RuanYaru HuJuan ZouMiqing LiShengxiang YangXu TanPublished in: Appl. Soft Comput. (2019)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- multi objective
- hybrid evolutionary algorithm
- optimization problems
- evolutionary computation
- differential evolution
- nsga ii
- multi objective optimization problems
- pareto optimal
- multiple objectives
- genetic programming
- simulated annealing
- multiobjective optimization
- pareto set
- fitness function
- genetic algorithm
- bi objective
- optimization algorithm
- multi objective genetic algorithm
- genetic operators
- complex optimization problems
- mutation operator
- multi objective genetic algorithms
- solving multi objective optimization problems
- objective function
- function optimization
- particle swarm
- evolutionary strategy
- estimation of distribution algorithms
- pareto dominance
- evolution strategy
- multi criteria
- pareto frontier
- optimization method
- particle swarm optimization