PEA: Parallel Evolutionary Algorithm by Separating Convergence and Diversity for Large-Scale Multi-Objective Optimization.
Huangke ChenXiaomin ZhuWitold PedryczShu YinGuohua WuHui YanPublished in: ICDCS (2018)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- population diversity
- multi objective evolutionary algorithms
- multi objective
- evolutionary computation
- optimization problems
- hybrid evolutionary algorithm
- simulated annealing
- differential evolution
- pareto dominance
- multiple objectives
- fitness function
- multi objective optimization problems
- crossover operator
- evolutionary strategy
- pareto optimal solutions
- pareto optimal
- nsga ii
- evolutionary process
- multi objective genetic algorithm
- constrained optimization problems
- function optimization
- genetic programming
- solving multi objective optimization problems
- bi objective
- genetic operators
- convergence speed
- optimization method
- multi objective problems
- multi objective genetic algorithms
- evolution strategy
- initial population
- genetic algorithm
- tabu search
- crossover and mutation
- mutation operator
- test problems
- multi objective optimisation
- optimization algorithm
- particle swarm optimization
- search algorithm