A real-coding jumping gene genetic algorithm (RJGGA) for multiobjective optimization.
Kazi Shah Nawaz RiponSam KwongKim-Fung ManPublished in: Inf. Sci. (2007)
Keyphrases
- multiobjective optimization
- multi objective
- genetic algorithm
- min max
- nsga ii
- evolutionary algorithm
- multiobjective evolutionary algorithm
- artificial immune system
- swarm intelligence
- strength pareto evolutionary algorithm
- multi objective optimization
- engineering problems
- multiobjective evolutionary algorithms
- single objective optimization
- image thresholding
- optimization algorithm
- multiple objectives
- microarray
- cooperative coevolution
- pareto optimal
- particle swarm optimization
- fitness function
- gene prediction
- neural network
- artificial bee colony
- job shop scheduling problem
- artificial neural networks
- objective function
- decision making
- search space
- greedy algorithm
- machine learning
- fuzzy logic
- differential evolution
- evolutionary computation
- gene expression
- ant colony optimization
- metaheuristic