An evolutionary algorithm based on fully connected weight networks for mixed-variable multi-objective optimization.
Nan-Jiang DongTao ZhangRui WangXiangke LiaoLing WangPublished in: Inf. Sci. (2024)
Keyphrases
- fully connected
- multi objective optimization
- evolutionary algorithm
- multi objective
- scale free
- evolutionary computation
- hybrid evolutionary algorithm
- differential evolution
- optimization problems
- conditional random fields
- genetic algorithm
- pareto optimal
- genetic programming
- multi objective genetic algorithms
- nsga ii
- multiple objectives
- simulated annealing
- genetic operators
- fitness function
- multi objective optimization problems
- bi objective
- complex networks
- optimization algorithm
- multi objective genetic algorithm
- optimization method
- small world
- multi objective problems
- convergence speed