A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search.
Ernestas FilatovasAlgirdas LancinskasOlga KurasovaJulius ZilinskasPublished in: Central Eur. J. Oper. Res. (2017)
Keyphrases
- stochastic local search
- multi objective evolutionary algorithms
- nsga ii
- multi objective
- multi objective optimization
- test problems
- evolutionary algorithm
- pareto optimal
- optimization problems
- multiobjective evolutionary algorithm
- satisfiability problem
- optimization algorithm
- multiobjective optimization
- multi objective optimization problems
- test functions
- differential evolution
- optimal solution
- pareto optimal solutions
- multi objective problems
- bi objective
- genetic algorithm
- knapsack problem
- phase transition
- randomly generated
- max sat
- fitness function
- benchmark problems
- pareto optimal set
- multi criteria
- sat instances
- evolutionary computation
- strength pareto evolutionary algorithm
- tree search
- branch and bound algorithm
- tabu search
- objective function
- neural network
- branch and bound
- multiple objectives
- metaheuristic
- particle swarm optimization
- simulated annealing
- search space