A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection for many-objective optimization.
Yu WuJianle WeiWeiqin YingYanqi LanZhen CuiZhenyu WangPublished in: CoRR (2022)
Keyphrases
- evolutionary algorithm
- multi objective
- multiple objectives
- nsga ii
- optimization problems
- evolutionary computation
- fitness function
- multi objective optimization
- differential evolution
- simulated annealing
- genetic programming
- multi objective evolutionary algorithms
- collaborative learning
- genetic operators
- geographically dispersed
- mutation operator
- pareto optimal
- decomposition algorithm
- quantum evolutionary algorithm
- function optimization
- genetic algorithm
- particle swarm optimization
- objective function
- image sequences
- critical points
- computer supported collaborative learning
- object boundaries
- solution quality
- decomposition method
- shape description
- evolutionary process
- metaheuristic
- evolutionary strategy
- multiscale