Scheduling multiprocessor tasks in a two-stage flow-shop environment
Proceedings of the 21st international conference on Computers and industrial engineering
Hybrid flow shop scheduling: a survey
Computers and Industrial Engineering
A new approach to solve hybrid flow shop scheduling problems by artificial immune system
Future Generation Computer Systems - Special issue: Computational science of lattice Boltzmann modelling
A Genetic Algorithm for Hybrid Flow-shop Scheduling with Multiprocessor Tasks
Journal of Scheduling
Computers and Operations Research
Bee colony optimization for the p-center problem
Computers and Operations Research
Solving reliability redundancy allocation problems using an artificial bee colony algorithm
Computers and Operations Research
A modified artificial bee colony algorithm
Computers and Operations Research
Expert Systems with Applications: An International Journal
Computers and Operations Research
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In this paper, the problem of scheduling multistage hybrid flowshops with multiprocessor tasks is contemplated. This is a strongly NP-hard problem for which a hybrid artificial bee colony (HABC) algorithm with bi-directional planning is developed to minimize makespan. To validate the effectiveness of the proposed algorithm, computational experiments were tested on two well-known benchmark problem sets. The computational evaluations manifestly support the high performance of the proposed HABC against the best-so-far algorithms applied in the literature for the same benchmark problem sets.