A Manufacturing Grid Resource Scheduling Model and Its Solution Method with Cloud Adaptive Genetic Algorithm (CAGA)

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Abstract:

The manufacturing grid is the grid technology in network manufacturing applications. The grid platform is the key to integrate and manage product life cycle through a variety of resources, and to achieve the ultimate goal of network manufacturing. In order to address manufacturing grid resource scheduling problem in network manufacturing environment, cloud adaptive genetic algorithm (CAGA) is used in grid resources scheduling process. The flow of manufacturing grid resource management and resource scheduling objective were studied in depth. Proposed the algorithm, which is based on cloud adaptive genetic algorithm, is an effective useroriented multi-objective and specific restrictions grid resources scheduling solution method. Simulation results demonstrate the effectiveness and efficiency of the method.

Keywords: CAGA; CLOUD ADAPTIVE GENETIC ALGORITHM; MANUFACTURING GRID; RESOURCE SCHEDULING

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/asl.2012.2216

Publication date: March 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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