A memetic NSGA-II with EDA-based local search for fully automated multiobjective web service composition.
Chen WangHui MaGang ChenSven HartmannPublished in: GECCO (Companion) (2019)
Keyphrases
- fully automated
- web service composition
- nsga ii
- differential evolution
- multi objective
- constrained multi objective optimization problems
- evolutionary algorithm
- memetic algorithm
- optimization algorithm
- crossover operator
- genetic algorithm
- uniform design
- multiobjective optimization
- service composition
- multi objective optimization
- multiobjective evolutionary algorithm
- pareto optimal
- particle swarm optimization
- multiobjective optimization problems
- web services
- fully automatic
- petri net
- simulated annealing
- description language
- convergence speed
- pareto dominance
- multi objective optimisation
- particle swarm optimization pso
- tabu search
- search algorithm
- multiple objectives
- evolutionary computation
- multi objective optimization problems
- evolutionary multiobjective
- test problems
- multi objective evolutionary algorithms
- bi objective
- optimization problems
- multi objective problems
- search space
- pareto optimal solutions
- job shop scheduling problem
- ai planning
- fitness function
- optimal solution
- pareto fronts
- objective function
- service oriented
- genetic programming
- metaheuristic
- optimum design
- combinatorial optimization
- neural network
- pso algorithm