:: Volume 4, Issue 1 (5-2013) ::
IJOR 2013, 4(1): 25-38 Back to browse issues page
A Novel Adapted Multi-objective Meta-heuristic Algorithm for a Flexible Bi-objective Scheduling Problem Based on Physics Theory
Khalili , Tavakkoli-Moghaddam
Abstract:   (13988 Views)

  We relax some assumptions of the traditional scheduling problem and suggest an adapted meta-heuristic algorithm to optimize efficient utilization of resources and quick response to demands simultaneously. We intend to bridge the existing gap between theory and real industrial scheduling assumptions (e.g., hot metal rolling industry, chemical and pharmaceutical industries). We adapt and evaluate a well-known algorithm based on electromagnetic science. The motivation behind our proposed meta-heuristic approach has arisen from the attraction-repulsion mechanism of electromagnetic theories in physics. In this basic idea, we desire to bring our search closer to a region with a superior objective function while going away from the region with the inferior objective function in order to move the solution gradually towards optimality. The algorithm is carefully evaluated for its performance against two existing algorithms using multi-objective performance measures and statistical tools. The results show that our proposed solution method outperforms the others.


Keywords: Performance quality measures, Traditional scheduling problem, Multi objective optimization, No intermediate queues.
Full-Text [PDF 268 kb]   (6402 Downloads)    
Type of Study: Original |
Received: 2014/04/24 | Accepted: 2014/04/24 | Published: 2014/04/24

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Volume 4, Issue 1 (5-2013) Back to browse issues page