An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method
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[1] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[2] L. Lasdon,et al. On a bicriterion formation of the problems of integrated system identification and system optimization , 1971 .
[3] Kaisa Miettinen,et al. Nonlinear multiobjective optimization , 1998, International series in operations research and management science.
[4] Matthias Ehrgott,et al. Multicriteria Optimization , 2005 .
[5] Marco Laumanns,et al. PISA: A Platform and Programming Language Independent Interface for Search Algorithms , 2003, EMO.
[6] Yacov Y. Haimes,et al. Multiobjective Decision Making: Theory and Methodology , 1983 .
[7] Andrzej Jaszkiewicz,et al. On the performance of multiple-objective genetic local search on the 0/1 knapsack problem - a comparative experiment , 2002, IEEE Trans. Evol. Comput..
[8] Thomas Jansen,et al. On the analysis of the (1+1) evolutionary algorithm , 2002, Theor. Comput. Sci..
[9] S. Ranji Ranjithan,et al. Constraint Method-Based Evolutionary Algorithm (CMEA) for Multiobjective Optimization , 2001, EMO.
[10] Robert E. Bixby,et al. MIP: Theory and Practice - Closing the Gap , 1999, System Modelling and Optimization.
[11] Tomas Gal,et al. Multiple objective decision making - methods and applications: A state-of-the art survey: Ching-Lai HWANG and Abu Syed Md. MASUD Springer, Berlin, 1979, xii + 351 pages, Dfl. 46.90. Soft cover , 1980 .
[12] Gerald L. Thompson,et al. ALGORITHMS FOR MINIMIZING TOTAL COST, BOTTLENECK TIME AND BOTTLENECK SHIPMENT IN TRANSPORTATION PROBLEMS , 1976 .