A new compound arithmetic crossover-based genetic algorithm for constrained optimisation in enterprise systems.
Chenxia JinFachao LiEric C. C. TsangLarissa BulyshevaMikhail KataevPublished in: Enterp. Inf. Syst. (2017)
Keyphrases
- genetic algorithm
- enterprise systems
- business processes
- evolutionary algorithm
- fitness function
- highly dynamic
- crossover operator
- genetic algorithm ga
- multi objective
- simulated annealing
- genetic programming
- neural network
- mutation operator
- genetic operators
- metaheuristic
- multi objective optimization
- web services
- crossover and mutation
- particle swarm optimization
- artificial neural networks
- service systems
- tree structure
- database
- genetic search
- mutation probability