A novel two-phase evolutionary algorithm for solving constrained multi-objective optimization problems.
Yanping WangYuan LiuJuan ZouJinhua ZhengShengxiang YangPublished in: Swarm Evol. Comput. (2022)
Keyphrases
- evolutionary algorithm
- constrained multi objective optimization problems
- multi objective
- optimization problems
- nsga ii
- evolutionary computation
- fitness function
- genetic algorithm
- simulated annealing
- differential evolution
- multi objective optimization
- crossover operator
- genetic programming
- mutation operator
- combinatorial optimization
- function optimization
- search heuristics
- hybrid evolutionary algorithm
- nonlinear equations
- constrained optimization problems
- genetic operators
- neural network
- evolutionary strategy
- evolutionary process
- optimal solution
- benchmark problems
- artificial neural networks
- particle swarm optimization