Computational experience with a branch-and-cut algorithm for flowshop scheduling with setups
Computers and Operations Research
Computers and Industrial Engineering
A hybrid two-stage flowshop with limited waiting time constraints
Computers and Industrial Engineering
Computers and Operations Research
Colonial Competitive Algorithm as a Tool for Nash Equilibrium Point Achievement
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
A tabu search heuristic for the hybrid flowshop scheduling with finite intermediate buffers
Computers and Operations Research
Computers and Operations Research
Computers and Operations Research
Expert Systems with Applications: An International Journal
Imperialist competitive algorithm for minimum bit error rate beamforming
International Journal of Bio-Inspired Computation
Mixed integer programming for scheduling flexible flow lines with limited intermediate buffers
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
A novel chemistry based metaheuristic optimization method for mining of classification rules
Expert Systems with Applications: An International Journal
Computers and Operations Research
Using meta-heuristics for project scheduling under mode identity constraints
Applied Soft Computing
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Recently introduced colonial competitive algorithm (CCA) has shown its excellent capability on different optimization problems. The aim of this paper is to propose a discrete version of this method to determine a schedule that minimizes sum of the linear earliness and quadratic tardiness in the hybrid flowshops scheduling problem with simultaneously considering effects of sequence-dependent setup times and limited waiting time. In other word we assume that the waiting time for each job between two consecutive stages cannot be greater than a given upper bound. Also for this problem, a mixed integer program is formulated. Computational results are presented to evaluate the performance of the proposed algorithms for problems with different structures.