참고문헌
- 김여근, 윤복식, 이상복, 메타휴리스틱, 영지문화사, 1997
- Coello, C.A.C., 'A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques,' Knowledge and Information Systems, Vol.11, No.3(1999), pp.269-308
- Deb, K., 'Multi-objective Genetic Algorithms : Problem Difficulties and Construction of Test Problems,' Evolutionary Computation, Vol.7, No.3(1999), pp.205-230 https://doi.org/10.1162/evco.1999.7.3.205
- Deb, K., S. Agrawal, A. Pratap, and T. Meyarivan, 'A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II,' In M.S. et al.(Ed.), Parallel Problem Solving from Nature-PPSN VI, Berlin, Springer, (2000), pp.849-858
-
Deb, K., M. Mohan, and S. Mishra, 'Evaluating the
$\varepsilon$ -Dorninance Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions,' Evolutionary Computation, Vol.13, No.4(2005), pp.501-525 https://doi.org/10.1162/106365605774666895 - Deb, K., L. Thiele, M. Laumanns, and E. Zitzler, 'Scalable Test Problems for Evolutionary Multi-Objective Optimization,' TIK-Report No.112, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, July, 2001
- Fonseca, C.M. and P.J. Fleming, 'Genetic algorithm for multiobjective optimization, formulation, discussion and generalization,' In Forrest, S. (ed.) Genetic Algorithms: Proceeding of the Fifth International Conference, 416-423. Morgan Kaufmann, San Mateo, CA. 1993
- Goldberg, D.E., Genetic Algorithms in Search, Optimization, and Machine Learning, Addison Wesley, Reading, Massachusetts. 1989
- Horn, J., N. Nafpliotis, and D.E. Goldberg, 'A niched Pareto genetic algorithm for multiobjective optimization,' IEEE international Conference on Evolutionary Computation, Vol.1(1994), pp.82-87
- Hyun, C.J., Y.H. Kim, and Y.K. Kim, 'A genetic algorithm for multiple objective sequencing problems in mixed model assembly,' Computers & Operations Research, Vol.25(1998), pp.657-690
- Kim, J.Y., Y. Kim, and Y.K. Kim, 'An endosymbiotic evolutionary algorithm for optimization,' Applied Intelligence, Vol.15(2001), pp.117-130 https://doi.org/10.1023/A:1011279221489
- Khare, V., X. Yao, and K. Deb, 'Performance Scaling of Multi-objective Evolutionary Algorithms,' Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, Springer. Lecture Notes in Computer Science. Vol. 2632, Faro, Portugal, (April 2003), pp.376-390
- Kim, Y.K., J.Y. Kim, and Y. Kim, 'An endosymbiotic evolutionary algorithm for the integration of balancing and sequencing in mixed-model U-lines,' European Journal of Operational Research, Vol.168, No.3(2006), pp.838-852 https://doi.org/10.1016/j.ejor.2004.07.032
- Knowles, J.D. and D.W. Corne, 'The Pareto archived evolution strategy: A new baseline algorithm for multi-objective optimization,' IEEE International Conference on Evolutionary Computation. (1999), pp.98-105
- Laumanns, M., L. Thiele, K. Deb, and E. Zitzler, 'Combining convergence and diversity in evolutionary rnulti-objecitve optimization,' Evolutionary Computation, Vol. 10, No.3(2002), pp.263-282 https://doi.org/10.1162/106365602760234108
- Michalewics, Z., 'Genetic Algorithms-Data Structures=Evolution Programs,' Second, Extended Edition, Springer-Verlag, 1992
- Muhlenbein, H. and D. Schlierkamp- Voosen, 'Predictive models for the breeder genetic algorithm I. Continuous parameter optimization,' Evolutionary Computation, Vol.1 No.2(1993), pp.25-49 https://doi.org/10.1162/evco.1993.1.1.25
- Potter, M.A., 'The design and analysys of a computational model of cooperative coevolution,' Ph.D. dissertation, George Mason University, 1997
- Schaffer, J.D., 'Multiple Objective Optimization with Vector Evaluated Genetic Algorithms,' In Genetic Algorithms and their Applications : Proceedings of the First International Conference on Genetic Algorithms, pp.93-100, Lawrence Erlbaum, 1985
- Srinivas, N. and K. Deb, 'Multiobjective optimization using nondominated sorting in genetic algorithms,' Evolutionary Computation, Vol.2, No.3(1985), pp.221-248 https://doi.org/10.1162/evco.1994.2.3.221
- Tan, K.C., T.H. Lee and E.F. Khor, 'Evolutionary Algorithms for Multi-Objective Optimization : Performance Assessments and Comparison,' Artificial Intelligence Review, Vol.17(2002), pp.253-290
- Veldhuizen, D.A.V. and G.B. Lamont, 'Multiobjective evolutionary algorithms: Analyzing the state-of-the-art,' Evolutionary Computation, Vol.8, No.2(2000), pp.125-147 https://doi.org/10.1162/106365600568158
- Zitzler, E., K. Deb, and L. Thiele, 'Comparison of multiobjective evolutionary algorithms: Empirical results,' Evolutionary Computation, Vol.8, No.2(2000), pp.173-195 https://doi.org/10.1162/106365600568202
- Zitzler, E. and L. Thiele, 'Mutlobjective evolutionary algorithms : A comparative case study and the strength Pareto approach,' IEEE Transactions on Evolutionary Computation, Vol.3, No.4(1999), pp.257-271 https://doi.org/10.1109/4235.797969
- Zitzler, E., M. Laumanns, and L. Thiele, 'SPEA2 : Improving the Strength Pareto evolutionary Algorithm,' Technical Report 103, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland, May, 2001