MOEA/D-GLS: a multiobjective memetic algorithm using decomposition and guided local search.
Ahmad AlhindiAbrar AlhindiAtif AlhejaliAbdullah AlsheddyNasser TairanHosam AlhakamiPublished in: Soft Comput. (2019)
Keyphrases
- memetic algorithm
- multi objective
- guided local search
- tabu search
- metaheuristic
- genetic algorithm
- vehicle routing problem
- evolutionary algorithm
- crossover operator
- uniform design
- simulated annealing
- particle swarm optimization
- search procedure
- multi objective optimization
- vehicle routing problem with time windows
- nsga ii
- optimization algorithm
- job shop scheduling problem
- optimization problems
- multiobjective optimization
- timetabling problem
- objective function
- feasible solution
- multiobjective evolutionary algorithm
- combinatorial optimization
- test problems
- multiple objectives
- search algorithm
- heuristic methods
- scheduling problem
- max sat
- multi objective evolutionary algorithms
- pareto optimal
- ant colony optimization
- bi objective
- pareto optimal solutions
- evolution strategy
- search space
- combinatorial optimization problems
- optimal solution
- routing problem
- benchmark problems
- differential evolution
- np hard
- traveling salesman problem
- fitness function