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Ant colony-based algorithms for scheduling parallel batch processors with incompatible job families

Author

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  • M. Venkataramana
  • N.R. Srinivasa Raghavan

Abstract

In current dynamic business environments, meeting the customer due dates and avoiding delay penalties are very important. Our work concerns with the static scheduling of jobs to parallel identical batch processors for minimising the total weighted tardiness. It is assumed that the jobs are incompatible in respect of job families indicating that jobs from different families cannot be processed together. In practice, the problem cannot be solved using any classical OR algorithms in polynomial time due to the problem complexity. We develop metaheuristics, namely, the ant colony optimisation (ACO) approach to solve the problem efficiently. We propose three ant colony-based algorithms by using the structural properties of the problem. An extensive experimentation is conducted to evaluate the performance of the proposed algorithms on different problem sizes with the varied tardiness factors. Our experimentation shows that ACO-based algorithms perform better as compared to the available best dispatching rules and algorithms.

Suggested Citation

  • M. Venkataramana & N.R. Srinivasa Raghavan, 2010. "Ant colony-based algorithms for scheduling parallel batch processors with incompatible job families," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 2(1), pages 73-98.
  • Handle: RePEc:ids:ijmore:v:2:y:2010:i:1:p:73-98
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    Citations

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    Cited by:

    1. Jia, Zhao-hong & Leung, Joseph Y.-T., 2015. "A meta-heuristic to minimize makespan for parallel batch machines with arbitrary job sizes," European Journal of Operational Research, Elsevier, vol. 240(3), pages 649-665.
    2. Jia, Zhao-hong & Li, Kai & Leung, Joseph Y.-T., 2015. "Effective heuristic for makespan minimization in parallel batch machines with non-identical capacities," International Journal of Production Economics, Elsevier, vol. 169(C), pages 1-10.
    3. Fowler, John W. & Mönch, Lars, 2022. "A survey of scheduling with parallel batch (p-batch) processing," European Journal of Operational Research, Elsevier, vol. 298(1), pages 1-24.
    4. C Almeder & L Mönch, 2011. "Metaheuristics for scheduling jobs with incompatible families on parallel batching machines," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2083-2096, December.

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