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Marcus Randall

Dr

  • Bond University, Bond Business School

    4229 Gold Coast

    Australia

  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
1994 …2021

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  • 2009

    Dynamic problems and nature inspired meta-heuristics

    Hendtlass, T., Moser, I. & Randall, M., 2009, Biologically-Inspired Optimisation Methods: Parallel Algorithms, Systems and Applications. Vol. 210. p. 79-109 31 p. (Studies in Computational Intelligence; vol. 210).

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

    2 Citations (Scopus)
  • Extremal optimisation for assignment type problems

    Randall, M., Hendtlass, T. & Lewis, A., 2009, Biologically-Inspired Optimisation Methods: Parallel Algorithms, Systems and Applications. Vol. 210. p. 139-164 26 p. (Studies in Computational Intelligence; vol. 210).

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

    9 Citations (Scopus)
  • Using ant colony optimisation to construct meander-line RFID antennas

    Lewis, A., Randall, M., Galehdar, A., Thiel, D. V. & Weis, G., 2009, Biologically-Inspired Optimisation Methods: Parallel Algorithms, Systems and Applications. Vol. 210. p. 189-217 29 p. (Studies in Computational Intelligence; vol. 210).

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

    15 Citations (Scopus)
  • 2008

    Evolutionary population dynamics and multi-objective optimisation problems

    Lewis, A., Mostaghim, S. & Randall, M., 2008, Multi-Objective Optimization in Computational Intelligence: Theory and Practice. Thu Bui, L. & Alam, S. (eds.). IGI Global, p. 185-206 22 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

    Open Access
    File
    10 Citations (Scopus)
    50 Downloads (Pure)
  • 2005

    A dynamic optimisation approach for ant colony optimisation using the multidemsional knapsack problem

    Randall, M., 2005, Recent Advances in Artificial Life: Advances in Natural Computation: Volume 3: Sydney, Australia, 5 – 8 December 2005. Abbass, H. A., Bossomaier, T. & Wiles, J. (eds.). Singapore: World Scientific, p. 215-226 12 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

  • Maintaining explicit diversity within individual ant colonies

    Randall, M., Dec 2005, Recent Advances in Artificial Life: Advances in Natural Computation: Volume 3: Sydney, Australia, 5 – 8 December 2005. Abbass, H. A., Bossomaier, T. & Wiles, J. (eds.). Singapore: World Scientific Publishing, p. 227-238 12 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

  • 2002

    A General Framework for Constructive Meta-heuristics

    Randall, M., 2002, Operations Research/Management Science at Work. Kozan, E. & Ohuchi, A. (eds.). Boston: KLUWER ACADEMIC PUBL, p. 111-128 18 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

    Open Access
    File
    53 Downloads (Pure)
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