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.

How to Cite
SHIVAKUMAR B L, AMUDHA T, Dr.. A Hybrid Bacterial Swarming Methodology for Job Shop Scheduling Environment. Global Journal of Computer Science and Technology, [S.l.], july 2012. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/503>. Date accessed: 19 jan. 2021.