Mathematical Optimization Algorithm for Minimizing the Cost Function of GHG Emission in AS/RS Using Positive Selection Based Clonal Selection Principle

This paper regards with the minimization of total cost of Greenhouse Gas (GHG) efficiency in Automated Storage and Retrieval System (AS/RS). A mathematical model is constructed based on tax cost, penalty cost and discount cost of GHG emission of AS/RS. A two stage algorithm namely positive selection...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1000; no. 1; pp. 12092 - 12102
Main Authors Mahalakshmi, Murugesan, R
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.04.2018
Subjects
Algorithms
Automated storage retrieval systems
Cost function
Emission
Greenhouse gases
Mathematical models
Optimization
Physics
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Summary:This paper regards with the minimization of total cost of Greenhouse Gas (GHG) efficiency in Automated Storage and Retrieval System (AS/RS). A mathematical model is constructed based on tax cost, penalty cost and discount cost of GHG emission of AS/RS. A two stage algorithm namely positive selection based clonal selection principle (PSBCSP) is used to find the optimal solution of the constructed model. In the first stage positive selection principle is used to reduce the search space of the optimal solution by fixing a threshold value. In the later stage clonal selection principle is used to generate best solutions. The obtained results are compared with other existing algorithms in the literature, which shows that the proposed algorithm yields a better result compared to others.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1000/1/012092