A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems.
Kangjia QiaoZhaolin ChenBoyang QuKunjie YuCaitong YueKe ChenJing LiangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- evolutionary algorithm
- constrained multi objective optimization problems
- mutation operator
- resource allocation
- multi objective
- population diversity
- crossover operator
- optimization problems
- nsga ii
- multi objective optimization
- evolutionary computation
- initial population
- evolutionary process
- genetic algorithm
- fitness landscape
- simulated annealing
- evolution process
- allocate resources
- differential evolution
- fitness function
- evolutionary strategy
- dynamic environments
- genetic programming
- population size
- limited resources
- optimal allocation
- artificial neural networks
- neural network
- resource constraints
- metadata
- resource allocation problems
- grid resource
- dynamic programming