A Modified Genetic Algorithm with Local Search Strategies and Multi-Crossover Operator for Job Shop Scheduling Problem.
Monique Simplicio VianaOrides Morandin JuniorRodrigo Colnago ContrerasPublished in: Sensors (2020)
Keyphrases
- search strategies
- job shop scheduling problem
- crossover operator
- genetic algorithm
- memetic algorithm
- evolutionary algorithm
- simulated annealing
- mutation operator
- genetic operators
- fitness function
- search strategy
- optimization problems
- genetic algorithm ga
- benchmark problems
- multi objective
- evolutionary computation
- explore the search space
- differential evolution
- crossover and mutation operators
- traveling salesman problem
- genetic programming
- search methods
- tabu search
- heuristic search
- scheduling problem
- multi objective optimization
- constraint programming
- retrieval effectiveness
- metaheuristic
- search algorithm
- nsga ii
- combinatorial optimization problems
- branch and bound
- vehicle routing problem
- neural network
- mutation probability
- computational intelligence
- combinatorial optimization
- constraint satisfaction
- computational efficiency
- ant colony optimization
- search space
- data structure
- information retrieval