A Hybrid Bacterial Swarming Methodology for Job Shop Scheduling Environment

A Hybrid Bacterial Swarming Methodology for Job Shop Scheduling Environment

Amudha T

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Dr. Shivakumar B L

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Bharathiar University

A Hybrid Bacterial Swarming Methodology for Job Shop Scheduling Environment

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Abstract

Optimized utilization of resources is the need of the hour in any manufacturing system. A properly planned schedule is often required to facilitate optimization. This makes scheduling a significant phase in any manufacturing scenario. The Job Shop Scheduling Problem is an operation sequencing problem on multiple machines with some operation and machine precedence constraints, aimed to find the best sequence of operations on each machine in order to optimize a set of objectives. Bacterial Foraging algorithm is a relatively new biologically inspired optimization technique proposed based on the foraging behaviour of E.coli bacteria. Harmony Search is a phenomenon mimicking algorithm devised by the improvisation process of musicians. In this research paper, Harmony Search is hybridized with bacterial foraging to improve its scheduling strategies. A proposed Harmony Bacterial Swarming Algorithm is developed and tested with benchmark Job Shop instances. Computational results have clearly shown the competence of our method in obtaining the best schedule.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Amudha T. 2012. \u201cA Hybrid Bacterial Swarming Methodology for Job Shop Scheduling Environment\u201d. Global Journal of Computer Science and Technology - A: Hardware & Computation GJCST-A Volume 12 (GJCST Volume 12 Issue A10): .

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GJCST Volume 12 Issue A10
Pg. 7- 16

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

BFO Bioinspired systems Harmony Search Optimization Scheduling

Submission ReceivedDecember 12, 2011
Peer Review Double Blind
Handling Editor
Accepted January 1, 2012
Published January 15, 2012

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v1.2

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July 16, 2012

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - A: Hardware & Computation

Authors: Dr. Shivakumar B L, Amudha T (PhD/Dr. count: 1)

View Count (all-time): 281

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Publish Date: 2012 07, Mon

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Total Views: 10315

Total Downloads: 2650

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