Resource allocation model and double-sphere crowding distance for evolutionary multi-objective optimization
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DOI: 10.1016/j.ejor.2013.09.007
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References listed on IDEAS
- Tan, K.C. & Goh, C.K. & Mamun, A.A. & Ei, E.Z., 2008. "An evolutionary artificial immune system for multi-objective optimization," European Journal of Operational Research, Elsevier, vol. 187(2), pages 371-392, June.
- Hu, Zhi-Hua, 2010. "A multiobjective immune algorithm based on a multiple-affinity model," European Journal of Operational Research, Elsevier, vol. 202(1), pages 60-72, April.
- Chen, Jianyong & Lin, Qiuzhen & Ji, Zhen, 2010. "A hybrid immune multiobjective optimization algorithm," European Journal of Operational Research, Elsevier, vol. 204(2), pages 294-302, July.
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Cited by:
- Yu Lei & Jiao Shi, 2017. "A NNIA Scheme for Timetabling Problems," Journal of Optimization, Hindawi, vol. 2017, pages 1-11, May.
- Jiang, Yuanchun & Liu, Yezheng & Shang, Jennifer & Yildirim, Pinar & Zhang, Qingfu, 2018. "Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives," European Journal of Operational Research, Elsevier, vol. 267(2), pages 612-627.
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Keywords
Multi-objective programming; Evolutionary computations; Resource allocation; Crowding distance;All these keywords.
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