A discrete version of particle swarm optimization for flowshop scheduling problems
Computers and Operations Research
A combinatorial particle swarm optimisation for solving permutation flowshop problems
Computers and Industrial Engineering
A discrete differential evolution algorithm for the permutation flowshop scheduling problem
Computers and Industrial Engineering
Computers and Operations Research
Computers and Operations Research
CSCWD '09 Proceedings of the 2009 13th International Conference on Computer Supported Cooperative Work in Design
Parallel Simulated Annealing with Genetic Enhancement for flowshop problem with Csum
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Estimation of distribution algorithm for permutation flow shops with total flowtime minimization
Computers and Industrial Engineering
Information Sciences: an International Journal
New VNS heuristic for total flowtime flowshop scheduling problem
Expert Systems with Applications: An International Journal
Path-relinking intensification methods for stochastic local search algorithms
Journal of Heuristics
Hi-index | 12.05 |
This paper presents a new hybridization of VNS and path-relinking on a particle swarm framework for the Permutational Flowshop Scheduling Problem with total flowtime criterion. The operators of the proposed particle swarm are based on path-relinking and variable neighborhood search methods. The performance of the new approach was tested on the benchmark suit of Taillard, and five novel solutions for the benchmark suit are reported. The results were compared against results obtained using methods from literature. Statistical analysis favors the new particle swarm approach over the other methods tested.