An Approximation Algorithm for Diagnostic Test Scheduling in Multicomputer Systems
IEEE Transactions on Computers
Hybrid flow shop scheduling: a survey
Computers and Industrial Engineering
A Genetic Algorithm for Hybrid Flow-shop Scheduling with Multiprocessor Tasks
Journal of Scheduling
Fuzzy swarm diversity hybrid model for text summarization
Information Processing and Management: an International Journal
A hybrid approach for learning concept hierarchy from Malay text using artificial immune network
Natural Computing: an international journal
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Applications in industry and computing require a proper scheduling of tasks to achieve good performance. The algorithms presented in this paper tackles task scheduling problem in a multi layer multiprocessor environment. Using the scheduling terminology, problem is defined as multiprocessor task scheduling in hybrid flow-shops. This paper presents a particle swarm optimization (PSO) algorithm for the solution. In order to improve the performance of PSO, hybrid techniques were also employed. The performance results, compared with other well known meta-heuristics from the literature, are reported. Results show that PSO and hybrid methods have merits in solving multiprocessor task scheduling in hybrid flow-shop environment.