Energy adaptive immune genetic algorithm for collaborative design task scheduling in Cloud Manufacturing system | IEEE Conference Publication | IEEE Xplore

Energy adaptive immune genetic algorithm for collaborative design task scheduling in Cloud Manufacturing system


Abstract:

A new manufacturing paradigm, i.e. Cloud Manufacturing (CMfg) has been proposed recently. In order to satisfy high efficiency and low cost collaborative design task sched...Show More

Abstract:

A new manufacturing paradigm, i.e. Cloud Manufacturing (CMfg) has been proposed recently. In order to satisfy high efficiency and low cost collaborative design task scheduling in CMfg, a new energy adaptive immune genetic algorithm (EAIGA) was designed. With the introduction of potential energy storage and detection, the new algorithm can not only improve searching diversity based on immune strategy, but also adaptively adjust the probabilities of crossover and mutation with low time complexity. The experimental results demonstrate that the new algorithm can effectively solving collaborative design task scheduling problem with a good balance between searching diversification and intensification.
Date of Conference: 06-09 December 2011
Date Added to IEEE Xplore: 29 December 2011
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Conference Location: Singapore

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