An adaptive weight vector guided evolutionary algorithm for preference-based multi-objective optimization.
Feng WangYixuan LiHeng ZhangTing HuXiao-Liang ShenPublished in: Swarm Evol. Comput. (2019)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- weight vector
- multi objective
- learning rate
- evolutionary computation
- optimization problems
- hybrid evolutionary algorithm
- differential evolution
- linear combination
- simulated annealing
- objective function
- multi objective optimization problems
- multiple objectives
- hyperplane
- genetic operators
- genetic algorithm
- fitness function
- mutation operator
- solving multi objective optimization problems
- nsga ii
- loss function
- genetic programming
- pareto optimal
- bi objective
- optimization algorithm
- support vector machine
- multi objective evolutionary algorithms
- complex optimization problems
- multi objective genetic algorithms
- pareto frontier
- pareto optimal set
- estimation of distribution algorithms
- small number
- feature selection