Pipeline optimization using a novel hybrid algorithm combining front projection and the non-dominated sorting genetic algorithm-II (FP-NSGA-II).
Salim FettakaJules ThibaultPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- nsga ii
- hybrid algorithm
- optimization algorithm
- differential evolution
- multi objective
- optimal solution
- particle swarm optimization pso
- optimization method
- particle swarm optimization
- optimization problems
- evolutionary algorithm
- multiobjective optimization
- evolutionary multiobjective
- uniform design
- hybrid optimization algorithm
- genetic algorithm
- multi objective optimization
- pareto optimal
- test problems
- test functions
- simulated annealing
- mutation operator
- tabu search
- multi objective evolutionary algorithms
- multi objective differential evolution
- multiobjective evolutionary algorithm
- particle swarm
- evolutionary multiobjective optimization
- evolution strategy
- constrained multi objective optimization problems
- multiple objectives
- convergence speed
- crossover operator
- pareto optimal solutions
- pso algorithm
- imperialist competitive algorithm
- global optimization
- premature convergence
- bi objective
- multi objective optimization problems
- standard test problems
- swarm intelligence
- initial population
- objective function
- global search
- knapsack problem
- cost function
- strength pareto evolutionary algorithm
- solution quality
- linear programming
- search algorithm
- fitness function
- metaheuristic
- benchmark problems
- branch and bound algorithm
- particle swarm optimisation
- solution space
- cooperative coevolution
- constrained optimization
- neural network