A fast ant-colony algorithm for single-machine scheduling to minimize the sum of weighted tardiness of jobs

O Holthaus () and C Rajendran

Journal of the Operational Research Society, 2005, vol. 56, issue 8, 947-953

Abstract: Abstract The problem of scheduling on a single machine is considered in this paper with the objective of minimizing the sum of weighted tardiness of jobs. A new ant-colony optimization (ACO) algorithm, called fast ACO (FACO), is proposed and analysed for solving the single-machine scheduling problem. By considering the benchmark problems available in the literature for analysing the performance of algorithms for scheduling on a single machine with the consideration of weighted tardiness of jobs, we validate the appropriateness of the proposed local-search schemes and parameter settings used in the FACO. We also present a comparison of the requirements of CPU time for solving the single-machine total-weighted tardiness problem by the FACO and the existing algorithms.

Keywords: single machine; scheduling; total-weighted tardiness; ant-colony algorithm (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (5)

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DOI: 10.1057/palgrave.jors.2601906

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