A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems.
Wenyi LongPeng WangHuachao DongJinglu LiChongbo FuPublished in: Appl. Soft Comput. (2024)
Keyphrases
- computationally expensive
- data driven
- computationally efficient
- computational complexity
- optimal solution
- np hard
- simulated annealing
- genetic algorithm
- cost function
- convex hull
- optimization algorithm
- multi objective problems
- neural network
- test problems
- ant colony optimization
- tabu search
- particle swarm optimization
- linear programming
- optimization problems
- evolutionary algorithm
- search space