Updated food positions in artificial bee colony algorithm for supply chain management

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Updated food positions in artificial bee colony algorithm for supply chain management

Tarun Kumar Sharma, Millie Pant

Department of Applied Sciences and Engineering, Indian Institute of Technology, Roorkee, India.

DOI:

https://doi.org/10.7494/cmms.2013.1.0419

Abstract:

The present study deals with the management of supply chain using an updated Artificial Bee Colony (ABC) algorithm named UABC. UABC employs a linear combination of Gaussian and Cauchy distributions to update the candidate food positions from the older ones in memory. Optimization of a supply chain model is an integer programming problem or a constrained integer-mixed problem, for which suitable modifications are done in the algorithm. Statistical analysis of the proposed variant when compared with three ABC based algorithms indicates its efficiency and validity.

Cite as:

Sharma, T., & Pant, M. (2013). Updated food positions in artificial bee colony algorithm for supply chain management. Computer Methods in Materials Science, 13(1), 113 – 119. https://doi.org/10.7494/cmms.2013.1.0419

Article (PDF):

Keywords:

Artificial Bee Colony, ABC, Supply chain system, Optimization, Exploration

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