The Optimization of Carbon Fiber Drawing Process Based on Cooperative Immune Clonal Selection Algorithm

Jia Jia Chen; Yong Sheng Ding; Kuang Rong Hao

doi:10.4028/www.scientific.net/AMR.681.304

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 681The Optimization of Carbon Fiber Drawing Process...

The Optimization of Carbon Fiber Drawing Process Based on Cooperative Immune Clonal Selection Algorithm

Abstract:

Drawing is an important process during carbon fiber production. How to obtain the fittest drawing ratios distribute scheme is a typical multi-objective optimization problem. We propose a novel cooperative immune clonal selection algorithm (CICSA) to obtain the optimal linear density and breaking elongation ratio. The CICSA features in synergetic evolution, clonal operation and mutation operation. Compared with the immune algorithm and the genetic algorithm, it has the best performance in precision and convergence time.

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Periodical:

Advanced Materials Research (Volume 681)

Pages:

304-308

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.681.304

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Online since:

April 2013

Authors:

Jia Jia Chen, Yong Sheng Ding, Kuang Rong Hao

Keywords:

Carbon Fiber (CF), Cooperative Immunity Clonal Selection, Multi-Objective Optimization (MOP)

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