A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization.
Kaixi YangJinhua ZhengJuan ZouFan YuShengxiang YangPublished in: Swarm Evol. Comput. (2023)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- multi objective
- mutation operator
- pareto optimal set
- crossover and mutation
- differential evolution
- evolutionary strategy
- optimization problems
- hybrid evolutionary algorithm
- evolutionary computation
- estimation of distribution algorithms
- evolutionary process
- initial population
- nsga ii
- genetic programming
- multi objective evolutionary algorithms
- fitness function
- genetic algorithm
- function optimization
- fitness landscape
- constrained multi objective optimization problems
- pareto optimal
- simulated annealing
- differential evolution algorithm
- crossover operator
- multiple objectives
- multi objective optimization problems
- multi objective genetic algorithm
- multi objective genetic algorithms
- pareto optimal solutions
- genetic operators
- complex optimization problems
- premature convergence
- optimization algorithm
- pareto dominance
- population size
- particle swarm optimization pso
- particle swarm optimization algorithm
- constrained optimization problems
- pareto frontier
- genetic algorithm ga
- fitness sharing
- evolution strategy