[1]
Jaszkiewicz A. Comparison of Local Search-based Metaheuristics on the Multiple Objective Knapsack Problem, Foundations of Computing and Decision Sciences, Vol. 26, No. 1, pp.99-120, (2001).
Google Scholar
[2]
Schaffer J. D. Multiple Objective Optimization with Vector Evaluated Genetic Algorithms, Genetic Algorithms and Their Applications: Proceedings of the First International Conference on Genetic Algorithms, pp.93-100, (1985).
Google Scholar
[3]
Jason D. Lohn, William F. Kraus, and Gray L . Haith , Comparing a Coevolutionary Genetic Algorithm for Multiobjective Optimization, 2002, IEEE.
DOI: 10.1109/cec.2002.1004406
Google Scholar
[4]
Fonseca C.M. and Fleming P.J. Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization, Proceedings of the Fifth International Conference on Genetic Algorithms San Mateo USA, pp.416-423, (1993).
Google Scholar
[5]
Srivivas N Deb K. Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. Evolutionary Computation, 1995(Vol. 2 No. 3): 221-248.
DOI: 10.1162/evco.1994.2.3.221
Google Scholar
[6]
E. Zitzler, K. Deb and L. Thiele. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results, Evolutionary Computation, 8(2), pp.173-195, Summer (2000).
DOI: 10.1162/106365600568202
Google Scholar
[7]
Horn J., Nafpliotis N. and Goldberg D.E. A Niched Pareto Genetic Algorithm for Multiobjective Optimization, Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Piscataway USA, pp.82-87, (1994).
DOI: 10.1109/icec.1994.350037
Google Scholar
[8]
Knowles J., Corne D., On Metrics for Comparing Nondominated Sets, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, Hawaii USA, IEEE Press, pp.711-716, (2002).
DOI: 10.1109/cec.2002.1007013
Google Scholar
