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A new multiobjective evolutionary algorithm

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  • Sarker, Ruhul
  • Liang, Ko-Hsin
  • Newton, Charles

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  • Sarker, Ruhul & Liang, Ko-Hsin & Newton, Charles, 2002. "A new multiobjective evolutionary algorithm," European Journal of Operational Research, Elsevier, vol. 140(1), pages 12-23, July.
    • Handle: RePEc:eee:ejores:v:140:y:2002:i:1:p:12-23
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    Cited by:

    1. Andriosopoulos, Kostas & Doumpos, Michael & Papapostolou, Nikos C. & Pouliasis, Panos K., 2013. "Portfolio optimization and index tracking for the shipping stock and freight markets using evolutionary algorithms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 52(C), pages 16-34.
    2. Quan, Gang & Greenwood, Garrison W. & Liu, Donglin & Hu, Sharon, 2007. "Searching for multiobjective preventive maintenance schedules: Combining preferences with evolutionary algorithms," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1969-1984, March.
    3. James C. Chen & Tzu-Li Chen & Yin-Yann Chen & Min-Yu Chung, 2024. "Multi-resource constrained scheduling considering process plan flexibility and lot streaming for the CNC machining industry," Flexible Services and Manufacturing Journal, Springer, vol. 36(3), pages 946-993, September.
    4. Elaoud, Semya & Loukil, Taicir & Teghem, Jacques, 2007. "The Pareto fitness genetic algorithm: Test function study," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1703-1719, March.
    5. Jacinto Martín & Concha Bielza & David Ríos Insua, 2005. "Approximating nondominated sets in continuous multiobjective optimization problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(5), pages 469-480, August.
    6. Choobineh, F. Fred & Mohebbi, Esmail & Khoo, Hansen, 2006. "A multi-objective tabu search for a single-machine scheduling problem with sequence-dependent setup times," European Journal of Operational Research, Elsevier, vol. 175(1), pages 318-337, November.
    7. Wang, Yujia & Yang, Yupu, 2010. "Particle swarm with equilibrium strategy of selection for multi-objective optimization," European Journal of Operational Research, Elsevier, vol. 200(1), pages 187-197, January.
    8. Koutras, V.P. & Platis, A.N. & Gravvanis, G.A., 2009. "Optimal server resource reservation policies for priority classes of users under cyclic non-homogeneous markov modeling," European Journal of Operational Research, Elsevier, vol. 198(2), pages 545-556, October.
    9. Chen, Min-Rong & Lu, Yong-Zai, 2008. "A novel elitist multiobjective optimization algorithm: Multiobjective extremal optimization," European Journal of Operational Research, Elsevier, vol. 188(3), pages 637-651, August.
    10. Kumar, Ranjan & Izui, Kazuhiro & Yoshimura, Masataka & Nishiwaki, Shinji, 2009. "Multi-objective hierarchical genetic algorithms for multilevel redundancy allocation optimization," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 891-904.
    11. Galinina Anna & Burceva Olga & Parshutin Sergei, 2012. "The Optimization of COCOMO Model Coefficients Using Genetic Algorithms," Information Technology and Management Science, Sciendo, vol. 15(1), pages 45-51, December.
    12. Shyamal Gondkar & Sivakumar Sreeramagiri & Edwin Zondervan, 2012. "Methodology for Assessment and Optimization of Industrial Eco-Systems," Challenges, MDPI, vol. 3(1), pages 1-21, June.
    13. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    14. Nasser Shahsavari-Pour & Azim Heydari & Afef Fekih & Hamed Asadi, 2024. "A Novel Pareto-Optimal Algorithm for Flow Shop Scheduling Problem," Mathematics, MDPI, vol. 12(18), pages 1-15, September.
    15. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    16. Tan, K.C. & Goh, C.K. & Yang, Y.J. & Lee, T.H., 2006. "Evolving better population distribution and exploration in evolutionary multi-objective optimization," European Journal of Operational Research, Elsevier, vol. 171(2), pages 463-495, June.

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