A new approach to solve the flexible job shop problem based on a hybrid particle swarm optimization and Random-Restart Hill Climbing.
Edilson Reis Rodrigues KatoGabriel Diego de Aguiar AranhaRoberto Hideaki TsunakiPublished in: Comput. Ind. Eng. (2018)
Keyphrases
- hill climbing
- hybrid particle swarm optimization
- simulated annealing
- search algorithm
- search space
- search procedure
- max min
- genetic algorithm ga
- data clustering
- beam search
- particle swarm optimization pso
- steepest ascent
- tabu search
- search strategy
- spatial clustering with obstacles constraints
- genetic algorithm
- solution space
- supervised learning
- dynamic programming
- nature inspired
- fitness function
- hybrid algorithm
- metaheuristic
- constraint satisfaction problems
- job shop scheduling problem
- medical image registration
- multi objective