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A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP

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  • Garcia-Martinez, C.
  • Cordon, O.
  • Herrera, F.
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    File URL: http://www.sciencedirect.com/science/article/B6VCT-4K42DMB-9/2/1fbd4c4a96f51a9b88823d05e9622c9f
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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 180 (2007)
    Issue (Month): 1 (July)
    Pages: 116-148

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    Handle: RePEc:eee:ejores:v:180:y:2007:i:1:p:116-148

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    Web page: http://www.elsevier.com/locate/eor

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    Cited by:
    1. Pradhananga, Rojee & Taniguchi, Eiichi & Yamada, Tadashi & Qureshi, Ali Gul, 2014. "Bi-objective decision support system for routing and scheduling of hazardous materials," Socio-Economic Planning Sciences, Elsevier, vol. 48(2), pages 135-148.
    2. Xu, Rui & Chen, Huaping & Li, Xueping, 2013. "A bi-objective scheduling problem on batch machines via a Pareto-based ant colony system," International Journal of Production Economics, Elsevier, vol. 145(1), pages 371-386.
    3. Luo, Hao & Du, Bing & Huang, George Q. & Chen, Huaping & Li, Xiaolin, 2013. "Hybrid flow shop scheduling considering machine electricity consumption cost," International Journal of Production Economics, Elsevier, vol. 146(2), pages 423-439.
    4. Liang, Yun-Chia & Hsiao, Yu-Ming & Tien, Chia-Yun, 2013. "Metaheuristics for drilling operation scheduling in Taiwan PCB industries," International Journal of Production Economics, Elsevier, vol. 141(1), pages 189-198.

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