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- Title
PARALLEL TEST TASK SCHEDULING BASED ON GENETIC SIMULATED ANNEALING ALGORITHMS.
- Authors
GAO, CHENGJIN; XIA, RUI; CHENG, JINJUN
- Abstract
Parallel test task scheduling is vital to the feasibility, capability, and reliability of the Parallel ATS. This paper uses Genetic Simulated Annealing Algorithm (GASA) to find the optimized parallel test task schedule. The mathematical model of the problem is put forward first. Then the gene encoding and GASA operation method are designed. Also, the multi-objective fitness function using penalty coefficient which could satisfy both the resource constrains and task sequence restriction is introduced. The results of two simulated experiments show that the algorithm is feasible and efficient.
- Subjects
SIMULATED annealing; FEASIBILITY studies; ENCODING; SIMULATION methods &; models; MATHEMATICAL models; TESTING; RELIABILITY in engineering
- Publication
Journal of Advanced Manufacturing Systems, 2011, Vol 10, Issue 1, p207
- ISSN
0219-6867
- Publication type
Article
- DOI
10.1142/S0219686711002168