A hybrid evolution strategies-simulated annealing algorithm for job shop scheduling problems.
Bilal KhurshidShahid MaqsoodPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- simulated annealing algorithm
- evolution strategy
- job shop scheduling problem
- simulated annealing
- evolutionary algorithm
- genetic algorithm
- particle swarm algorithm
- job shop scheduling
- global search
- optimization methods
- tabu search
- benchmark problems
- metaheuristic
- differential evolution
- guided local search
- evolutionary programming
- optimization method
- premature convergence
- particle swarm optimisation
- multi objective
- combinatorial optimization
- numerical optimization
- hybrid algorithm
- search algorithm
- evolutionary computation
- multi objective optimization
- mutation operator
- genetic algorithm ga
- optimization problems
- artificial immune system
- search procedure
- solution space
- particle swarm optimization algorithm
- fitness function
- particle swarm
- particle swarm optimization pso
- memetic algorithm
- solution quality
- combinatorial optimization problems
- feasible solution
- branch and bound
- particle swarm optimization
- fuzzy logic
- neural network
- crossover operator
- graph model
- ant colony optimization
- test functions
- genetic programming
- scheduling problem
- cost function
- similarity measure
- information retrieval