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題名:智慧型多準則決策支援研究:以交談式遺傳演算法為基礎的模型
作者:許芳誠
作者(外文):Fang-Cheng Hsu
校院名稱:國立中央大學
系所名稱:資訊管理研究所
指導教授:陳稼興
學位類別:博士
出版日期:2000
主題關鍵詞:多準則決策支援交談式遺傳演算法決策支援系統multi-criteria decision supportinteractive genetic algorithmsdecision support systems
原始連結:連回原系統網址new window
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由於對決策本質的新體認,多準則決策(Multiple Criteria Decision Making; MCDM)方法也因此興起。從學界關於多準則決策方面的研究文獻中,可以看到多準則決策方法論還存在一些挑戰,特別是面對一些屬於「決策者的目標函數未知」、「決策者的偏好隨著決策分析進行而改變」和「解答空間極大」同時存在的「目標函數未知的複雜多準則決策問題」時,我們發現多準則決策方法應該還有進一步發展的空間。交談式遺傳演算法(Interactive Genetic Algorithms; IGA)除了在本質上適合作為多準則決策模式的核心技術外,還具備其他多準則決策技術少有的特性。本研究從支援決策者進行「邊尋邊選」的觀點,提出一個「以交談式遺傳演算法為基礎的智慧型多準則決策支援模型」解決上述的多準則決策問題。此外,我們發現IGA要能實際運用於支援解決「目標函數未知的複雜多準則決策問題」,必須先克服IGA演化耗時的問題,因此我們進一步提出改善IGA的適應值給定策略。本研究的個案實驗結果顯示:本研究所提模型用於解決二個「目標函數未知的複雜多準則決策問題」研究個案上,其績效顯著的優於傳統What-if模型及IPM (Interactive Programming Method)模型。在IGA演化績效的改善問題方面,個案研究結果也支持本研究所提的分頁「相對距離」策略顯著的優於傳統「全體評比」策略及「偏差」策略。除了上述的貢獻外,本研究模型所提出的隱性基因概念對IGA的應用也深具啟發意義。
Owing to newly recognizing the nature of decision-making, methodologies of multiple criteria decision-making (MCDM) are emerging. After a literature review, it finds that researchers still meet with challenges on MCDM especially for complex multiple decision-making problems with unknown objective function. In this study, we propose a model with interactive genetic algorithms (IGA) to solve the problem. However, the inefficiency problem of IGA needs to be improved to make it feasible for the MCDM problem. Hence, we develop a fitness assignment strategy to improve the performance of the IGA-based system, and integrate them into our model. To verify the outstanding performance of the proposed model, we apply our model on an itinerary planning case. Experiment results show that the model perform as we expected.
參考文獻
中文部分:
許志義, 多目標決策,五南圖書出版公司,1994。
許芳誠,陳稼興,「應用遺傳演算法指認嫌犯話音之研究」,第一屆資訊管理學術暨警政資訊實務研討會,台灣桃園,1996,頁94 -104。
顏月珠,無母數統計方法,三民書局,1992。
英文部分:
Abdel-Aty, M., R. Kitamura, and P. Jovanis, “Investigating Effect of Advanced Traveler Information on Commuter Tendency to Use Transit,” Transportation Research Record, 1550, National Research Council, Washington, D.C., 1996, pp. 65-72.
Anthony, R. N., Planning and Control Systems: A Framework for Analysis, Boston, Harvard University Graduate School of Business Administration, 1965.
Back, T., U. Hammel, and H. P. Schwefel, “Evolutionary Computation: Comments on the History and Current State,” IEEE Transactions on Evolutionary Computation, Vol. 1, No. 1, 1997, pp. 3-17.new window
Baker, E., “Summary: Evolving Line Drawings,” in Proceedings of the Fifth International Conference on Genetic Algorithm, Morgan Kaufmann Publisher, 1993, pp.627-628.
Balakrishnan, P.V., Jacob, V. S., “Triangulation in Decision Support Systems: Algorithms for Product Design,” Decision Support Systems, Vol. 14, 1995, pp. 313-3 27.
Balakrishnan, P.V., Jacob, V. S., “Genetic Algorithms for Product Design,” Management Science, Vol. 42, No. 8, 1996, pp. 1105-1117.
Biles, J. A., “Life with GenJam: Interacting with a Musical IGA,” in Proceedings of the 1999 International Conference on SMC, Vol. 3, Tokyo, Japan, 1999, pp.652-656.
Borgers, A., H. Timmermans, “City Center Eentry Points, Store Location Patterns and Pedestrian Route Choice Behavior: a microlevel simulation model,” Socio-Economic Planning Sciences, Vol. 20, 1986, pp, 25-31.
Buchanan J. T. and E. J. Henig, “Objectivity and Subjectivity in the Decision Making Process,” Dept. of Management Systems Research Report Series 1997-1, University of Waikato, Jamilton, New Zealand, Jan., 1997.
Caldwell, C. and Johnston, V. S., “Tracking a Criminal Suspect through ‘Face-Space’ with a Genetic Algorithm,” in Proceedings of the Fourth International Conference on Genetic Algorithms, Morgan Kaufmann, San Mateo, California, 1991, pp. 416-421.
Charnes, A. and W.W. Cooper, Management Models and Industrial Applications of Linear Programming, Vol. I & II, John Wiley, New York, 1961.
Chatterjee, S., C., Carrera, and L., Lynch, “Genetic Algorithms and Traveling Salesman Problems,” European Journal of Operational Research, Vol. 93, 1996, pp. 490-510.
Cobham, A., “The Intrinsic Computational Difficulty of Functions,” in Proceedings of 1964 International Congress for Logic Methodology and Philosophy of Science, North Holland, Amsterdam, 1964, pp. 24-30.
Coello, C. A. C., “A Comprehensive Survey of Evolutionary-based Multiobjective Optimization,” Knowledge and Information Systems, 1999.
Cohon, J. L., “Multicriteria Programming: Brief Review and Application,” in J. S. Gero (Ed.), Design Optimization, Orlando, Florida: Academic Press, 1985, pp. 163—191..
Cohon, J. L., Multiobjective Programming and Planning, New York: Academic Press, 1978.
Cook, S. A., “The Complexity of Theorem-proving Procedures,” in Proceedings of the 3rd Ann. ACM Symp. on Theory of Computing, Association for Computing Machinery, New York, 1971, pp. 151-158.
Cunha, A. G., P. Oliviera, and J. Covas, “Use of Genetic Algorithms in Multicriteria Optimization to Solve Industrial Problems,” in Proceedings of the Seventh International Conference on Genetic Algorithms, San Francisco, CA: Kaufmann Morgan, 1997, pp. 682—688.
Damm, D., “Parameters of Activity Behavior for Use in Travel Analysis,” Transportation Research, No.16A, 1982, pp. 135-148.
Daniel, W. W., Applied Nonparametric Statistics (2nd), PWS-KENT Publishing Company, 1990.
Davis, L. “Job Shop Scheduling with Genetic Algorithm Research,” in Proceedings of An International Conference on Genetic Algorithm, Hillsdale, NJ: Lawrence Erlbaum, 1985, pp. 136-140.
Davis, L., The Genetic Algorithms Handbook, Van Nostrand Reinhold, New York, 1991.
Dawkins, R., “The Evolution of Evolvability,” Artificial Life, Addison Wesley, 1989, pp. 201-220.
De Jong, K. A., “An Analysis of the Behavior of a Class of Genetic Adaptive Systems,” Ph. D. Dissertation, University of Michigan, Ann Arbor, 1975.
De Jong, K. A., “On Using Genetic Algorithms to Search Program Spaces,” in Proceedings of the Second International Conference on Genetic Algorithm and Their Applications, Hillsdale, NJ: Lawrence Erlbaum, Landon, 1987, pp. 210-216.
De Jong, K. A., “Are Genetic Algorithms Function Optimizers,” in Parallel problem Solving from Nature 2, Amsterdam, The Netherland: Elsevier, 1992, pp. 3-13.
De Jong, K. A., “Genetic Algorithms are NOT Function Optimizers,” in Foundation of Genetic Algorithms 2, San Mateo, CA: Morgan Kaufmann, 1993, pp. 5-17.
Deb, K., “Evolutionary Algorithms for Multi-criterion Optimization in Engineering Design.” in Proceedings of Evolutionary Algorithms in Engineering and Computer Science, 1999.
DeSantics, G., and R. B. Gallupe, “A Foundation for the Study of Group Decision Support Systems,” Management Science, Vol. 33, No. 5, 1987, pp. 586-609.
Eom, S. B., “The Intellectual Development and Structure of Decision Support Systems (1991-1995),” Omega, Internal Journal of Management Science, Vol. 26, No. 5, 1998, pp. 639-657.
Eom, S. B., “Mapping the Intellectual Structure of Research in Decision Support Systems through Author Co-citation Analysis (1971-1993),” Decision Support Systems, Vol. 16, 1996, pp. 315-338.
Eomonds, J., “Paths, Trees, and Flowers,” Canadian Journal of Mathematics, Vol. 17, 1965, pp. 449-467.
Eshelman, L. J. and J. D. Schaffer, “Crossover’s Niche,” in Proceedings of the 5th International Conference on Genetic Algorithms, San Mateo, CA: Morgan Kaufmann, 1993, pp. 9-14.
Eshelman, L. J. and J. D. Schaffer, “Productive Recombination and Propagating and Preserving Schemata,” in Foundations of Genetic Algorithms 3, San Francisco, CA: Morgan Kaufmann, 1995, pp. 299-313.
Fonseca, C. M. and P. J. Fleming, “Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization,” in Proceedings of the Fifth International Conference on Genetic Algorithms, San Mateo, CA: Morgan Kaufmann, 1993, pp. 416—423.
Fonseca, C. M. and P. J. Fleming, “An Overview of Evolutionary Algorithms in Multiobjective Optimization,” Evolutionary Computation, Vol. 3, No. 1, 1995, pp. 1—16.new window
Fonseca, C. M. and P. J. Fleming, “Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms─part II: Application example,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 28, No. 1, 1998, pp. 38—47.new window
Forrest, S. and M. Mitchell, “What Makes a Problem Hard for a Genetic Algorithm? Some Anomalous Results and Their Explanation,” Machine Learning, Vol. 13, 1993, 285-319.
Fourman, M. P., “Compaction of Symbolic Layout Using Genetic Algorithms,” in Proceedings of the First International Conference on Genetic Algorithms and Their Applications, Hillsdale, NJ: Lawrence Erlbaum, PA, 1985, pp. 141—153.
Furuta, H., K. Maeda and E. Watanabe, “Application of Genetic Algorithm to Aesthetic Design of Bridge Structures,” Microcomputers in Civil Engineering, Vol. 10, 1995, pp. 415-421.
Garey, M. R. and D. S. Johnson, Computers and Intractability: A guide to the Theory of NP-Completeness, W. H. Freeman and Company, New York, 1979.
Gendreau, M., A. Hertz, and G. Laporte, “New Insertion and Post-Optimization Procedures for the Traveling Salesman Problem,” Operations Research, Vol. 40, 1992, pp. 1086-1094.
George, J. F., “The Conceptualization and Development of Organizational Decision Support Systems,” Journal of MIS, Vol. 8, No. 3, 1991, pp. 109-125.
Goicoechea, A., D. R. Hansen and L. Duckstein, Multiobjective Decision Analysis with Engineering and Business Applications, Wiley, New York, 1982.
Goldberg, D. E., “Genetic Algorithms and Rule Learning in Dynamic System Control,” in Proceedings of the First International Conference on Genetic Algorithm and Their Applications, Hillsdale, NJ: Lawrence Erlbaum, 1985, pp. 8-15.
Goldberg, D. E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley, Reading, MA, 1989.
Goldberg, D. E., “The Theory of Virtual Alphabets,” in Parallel problem Solving from Nature, Berlin, Germany: Springer, 1991, pp. 13-22.
Goldberg, D. E., K. Deb, and J. H. Clark, “Genetic Algorithms, Noise, and the Sing of Populations,” Complex Systems, Vol. 6, 1992, pp. 333-362.
Goldberg, D. E., K. Deb, H. Kargupta, and G. Harik, “Rapid, Accurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms,” in Proceedings of the 5th International Conference on Genetic Algorithms, San Mateo, CA: Morgan Kaufmann, 1993, pp. 56-64.
Goldberg, D. E., and R. J. Lingle, “Alleles, Loci and the Traveling Salesman Problem,” in Proceedings of An International Conference on Genetic Algorithms, Hillsdale, NJ: Lawrence Erlbaum, 1985, pp. 154-159.
Golden and Stewart, “Empirical Analysis of Heuristics for the Traveling Salesman Problem,” A Guided Tour of Combinatorial Optimization, John Wiley & Sons, 1985.
Gordon, M., “Probabilistic and Genetic Algorithms for Document Retrieval,” CACM, Vol. 31, No. 10, 1988.
Gorry, G. A. and M. S. Scott Morton, “A framework for Management Information systems, “ Sloan Management Review, Fall 1971, pp. 55-70.
Grefenstette, J. J., “Optimization of Control Parameters for Genetic Algorithms,” IEEE Transactions on System, Man, Cybernetic, Vol. 16, No. 1, 1986, pp. 122-128.new window
Grefenstette, J. J., “Incorporating Problem Specific Knowledge into Genetic Algorithms,” in Genetic Algorithms and Simulated Annealing, L. David, Ed. San Mateo, CA: Morgan Kaufmann, 1987, pp. 42-60.
Grefenstette, J. J., “Conditions for Implicit Parallelism,” in Foundations of Genetic Algorithms, San Mateo, CA: Morgan Kaufmann, 1991, pp. 252-261.
Grefenstette, J. J., “Deception Considered Harmful,” in Foundations of Genetic Algorithms 2, San Mateo, CA: Morgan Kaufmann, 1993, pp. 75-91.
Guitouni, A., and J. M. Martel, “Tentative Guidelines to Help Choosing an Appropriate MCDA Method,” European Journal of Operations Research, Vol. 109, 1998, pp. 501-521.
Hackathorn, R. D., and P. G. W. Keen, “Organizational Strategies for Personal Computing in Decision Support Systems,” MIS Quarterly, Vol. 5, No. 3, 1981, pp. 21-27.
Harik, G. R., “Finding Multimodal Solutions Using Restricted Tournament Selection” in Proceedings of the Sixth International Conference on Genetic Algorithms, San Francisco, CA: Morgan Kaufmann, 1995, pp. 24—31.
Henig, M.I. and J. Buchanan, “Solving MCDM Problems: Process Concepts,” Journal of Multi-Criteria Decision Analysis, Vol. 5, 1996, pp. 3-12.
Henig, M.I. and H. Katz, “R&D Project Selection: A Decision Process Approach,” Journal of Multi-criteria Decision Analysis, Vol. 5, 1996, pp. 169-177.
Hoffman, A. J., and P. Wolfe, “History,” The Traveling Salesman Problem: A Guided Tour of Combinatorial Optimization. Edited by Lawler, E. L. et. al., Wiley, 1985.
Holland, J. H., Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, MI, 1975.
Holland, J. H., “Escaping Brittleness: The Possibilities of General-Purpose Learning Algorithms Applied to Parallel Rule-based Systems,” in R. S. Michalski, J. G. Carbonell, and T.M. Mitchell (Eds.), Machine Learning II, Morgan Kaufmann, 1986.
Holland, J. H., “Using Classifier Systems to Study Adaptive Nonlinear Networks,” in D. L., Stein (Ed.), Lectures in the Science of Complexity, SFI Studies in the Science of Complexity, Addison-Wesley Longman, 1989, pp. 463-499.
Horn, J., N. Nafpliotis and D. E. Goldberg, “A Niched Pareto Genetic Algorithm for Multiobjective Optimization,” in Proceedings of the First IEEE Conference on Evolutionary Computation, Vol. 1, Piscataway, NJ, 1994, pp. 82—87.new window
Horn, J., Multicriteria Decision Making, in T. B‥ack, D. B. Fogel, and Z. Michalewicz Eds. Handbook of Evolutionary Computation, Bristol (UK): Institute of Physics Publishing, 1997.
Hsu F. C. and J. S. Chen, “A Study on Multi Criteria Decision Making Model: Interactive Genetic Algorithms Approach,” Tamsui Oxford Journal of Management Sciences, Vol. 15, 1999, pp.145-163.
Hwang, C. L., S. R. Paidy, K. Yoon and A. S. M. Masud, “Mathematical Programming with multiple Objectives: A Tutorial,” Computers & Operations Research, Vol. 7, 1980, pp. 5-31.
Hwang, C. L. and K. Youn, Multiple Attribute Decision Making — Methods and Application: A State of the Art Survey, Springer, New York, 1981.
Hwang, C. L. and A. S. M. Masud, Multiple Objectives Decision Making─Methods and Applications, Berlin: Springer, 1979.
Ishibuchi, H. and T. Murata, “Multi-objective Genetic Local Search Algorithm,” in Proceedings of 1996 IEEE International Conference on Evolutionary Computation (ICEC’96), Piscataway, NJ, 1996, pp. 119—124.
Jankowski, P., “Integrating Geographical Information Systems and Multiple Criteria Decision-making Methods,” International Journal of Geographical Information Systems, Vol. 9, No. 3, 1995, pp. 251-273.
Johnson, D.S. “Local Optimization and the Traveling Salesman Problem,” Automata, Languages and Programming, Lecture Notes in Computer Science, Vol. 443, Springer-Verlag, 1990.
Kaliszewski, I, “Using Trade-off Information in Decision-Making Algorithms,” Computers and Operations Research, Vol. 27, 2000, pp. 161-182.
Keen, P. G. W. and M. S. Scott Morton, Decision Support Systems: An Organizational Perspective. Addison-Wesley, Reading, MA, 1978.
Keeney, R.L. and H. Raiffa, Decisions with Multiple Objectives: Preferences and Value Tradeoffs, John Wiley and Sons, New York, 1976.
Keeney, R. L., Value Focused Thinking, Cambridge, MA: Harvard University Press, 1992.
Kim, H. S. and S.B. Cho, “Development of an IGA-based Fashion Design Aid System with Domain Specific Knowledge,” in Proceedings of the 1999 International Conference on SMC, Vol. 3, Tokyo, Japan, 1999, pp.663-668.
Kitamura, R., “Incorporating Trip Chaining into Analysis of Destination Choice,” Transportation Research, Vol. 18B, 1984, pp. 67-81.
Kitamura, R., “A Model of Daily Time Allocation to Discretionary out of Home Activities and Trips,” Transportation Research, Vol. 18B, 1984, pp. 255-266.
Kitamura, R., C. Chen, J. Chen, “Daily Activity and Multimodal Travel Planner: Phase II Final Report,” Institute of Transportation Studies, University of California, California PATH Research Report (UCB-ITS-PRR-99-1), 1999.
Koza, J. R., “Hierarchical Genetic Algorithms Operating on Populations of Computer Programs,” in Proceedings of International Joint conference on Artificial Intelligence, San Maiteo, CA: Morgan Kaufmaan, 1989, pp. 768-774.
Koza, J. R., Genetic Programming: On the Programming of Computers by Means of Natural Selection, Cambridge, MA: The MIT Press, 1992.
Kursawe, F., “A Variant of Evolution Strategies for Vector Optimization,” in Parallel Problem Solving from Nature, Berlin, Springer, 1991, pp. 193—197.
Laporte, G., “The Traveling Salesman Problem-An Overview of Exact and Approximate Algorithms,” European Journal of Operational Research, Vol. 59, No. 2, 1992, pp. 231-247.
Lim, L. H., and I. Benbasat, “A Theoretic Perspective of Negotiation Support Systems, ” Journal of MIS, Vol. 3, No. 9, 1993, pp. 27-44.
Lis, J. and A. E. Eiben, “A Multi-sexual Genetic Algorithm for Multiobjective Optimization,” in Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC’97), Piscataway, NJ, 1997, pp. 59—64.
Miller and Pekny, “Exact Solution of Large Asymmetric Traveling Salesman Problems,” Science, Vol. 251, 1991, pp. 754-761.
Mitchell, M., An Introduction to Genetic Algorithms, Cambridge, MA: The MIT Press, 1996.
Monmarche, N., G. Nocent, M. Slimane, G. Venturini and P. Santini, “Imagine: A Tool for Generating HTML Style Sheets with an Interactive Genetic Algorithm Based on Genes Frequencies,” in Proceedings of the 1999 International Conference on SMC, Vol. 3, Tokyo, Japan, 1999, pp.640-645.
Nishio, K., M. Murakami, E. Mizutani, and N. Honda, “Fuzzy Fitness Assignment in an Interactive Genetic Algorithm for a Cartoon Face Search,” in E. Sanchez, T. Shibata, and L. A. Zadeh (Ed.), Genetic Algorithms and Fuzzy Logic Systems - Soft Computing Perspectives, World Scientific Publishing, 1997, pp.175-191.
Nissen, M., “Intelligent Agents: A Technology and Business Application Analysis, BA248D: Telecommunications and Distributed Processing, Nov. 30, 1995.
Oliver, I. M., D. J. Smith, and J. R. Holland, “A Study of Permutation Crossover Operators on the Traveling Salesman Problem,” in Proceedings of the Second International Conference on Genetic Algorithm and Their Applications, Hillsdale, NJ: Lawrence Erlbaum, Landon, 1987, pp. 224-230.
Purao, S., H. K. Jain, and D. L. Nazareth, “Supporting Decision Making in Combinatorially Explosive Multicriteria Situation,” Decision Support Systems, Vol. 26, 1999, pp. 225-247.
Riolo, R. L., “The Emergence of Coupled Sequences of Classifiers,” in Proceedings of the 3rd International Conference on Genetic Algorithms, San Mateo, CA: Morgan Kaufmann, 1989, pp. 256-264.
Riolo, R. L., “The Emergence of Default Hierarchies in Learning Classifier Systems,” in Proceedings of the 3rd International Conference on Genetic Algorithms, San Mateo, CA: Morgan Kaufmann, 1989, pp. 322-327.
Rudolph, G., “On a Multi-objective Evolutionary Algorithm and Its Convergence to the Pareto Set,” in IEEE International Conference on Evolutionary Computation (ICEC’98), Piscataway, NJ, 1998, pp. 511—516.
Saaty, T. L., The Analytic Hierarchy Process, McGraw-Hill, New York, 1980.
Sato, Y., “Voice Conversation Using Evolutionary Computation,” Intelligent Manufacturing of Materials, 1997, pp.342-348.
Schaffer, J. D., “Multiple Objective Optimization with Vector Evaluated Genetic Algorithms,” in Proceedings of the First International Conference on Genetic Algorithm and Their Applications, Hillsdale, NJ: Lawrence Erlbaum, 1985, pp. 93-100.
Schaffer, J. D., and L. J. Eshelman, “On Crossover as an Evolutionary Strategy,” in Proceedings of the 4th International Conference on Genetic Algorithm, San Mateo, CA: Morgan Kaufmann, 1991, pp. 61-68.
Schaffer, J. D., and A. Morishima, “An Adaptive Crossover Distribution Mechanism for Genetic Algorithms,” in Proceedings of the 2nd International Conference on Genetic Algorithm and Their Applications, Hillsdale, NJ: Lawrence Erlbaum, 1987, pp. 36-40.
Scott, Morton, M. S., Management Decision Systems: Computer Based Support for Decision Making, Division of Research, Harvard University, Cambridge, Mass, 1971.
Simon, H, A., The New Science of Management Decision. New York: Harper & Row, 1960.
Simon, H.A., The New Science of Management Decision (rev. ed.), Englewood Cliffs, NJ: Prentice-Hall, 1977.
Smith, J. R., “Designing Biomorphs with an Interactive Genetic Algorithms,” in Proceedings of the 4th International Conference on Genetic Algorithms, San Diego, 1991, pp. 535-538.
Siskos, Y. and A. Spyridakos, “Intelligent Multicriteria Decision Support: Overview and Perspectives,” European Journal of Operations Research, Vol. 113, 1999, pp. 236-246.
Srinivas, M. and L. M Patnaik, “Genetic Algorithms: A Survey,” IEEE Computer, Vol. 27, 1994, pp. 17-43.
Srinivas, M. and K. Deb, “Multiobjective Optimization Using Non-dominated Sorting in Genetic Algorithms,” Evolutionary Computation, Vol. 3, No. 2, 1994, pp. 221-248.
Steuer, R. E., Multiple Criteria Optimization: Theory, Computation, and Application, New York: Wiley, 1986.
Stewart, T., “A Critical Survey on the Status of Multiple Criteria Decision Making Theory and Practice,” Omega. Internal Journal of Management Science, Vol. 20, No. 5/6, 1992, pp. 569 — 586.
Syswerda, G. and J. Palmucci, “The Application of Genetic Algorithms to Resource Scheduling,” in Proceedings of the 4th International Conference on Genetic Algorithm, San Mateo, CA: Morgan Kaufmann, 1991, pp. 502-508.
Takagi, H., “Interactive Evolutionary Computation — Cooperation of computational Intelligence and Human KANSEI,” in 5th International Conference on Soft Coputing, Fukuoka, Japan, 1998, pp.41-50.
Takagi, H. and M. Ohsaki, “IEC-based Hearing Aids Fitting,” Proceedings of the 1999 International Conference on SMC, Vol. 3, Tokyo, Japan, 1999, pp.657-662.
Tamaki, H., H. Kita, and S. Kobayashi, “Multi-objective Optimization by Genetic Algorithms: A review,” in Proceedings of 1996 IEEE International Conference on Evolutionary Computation (ICEC’96), Piscataway, NJ, 1996, pp. 517—522.
Terano, T. and Y. Ishira, “Integrating Machine Learning and Simulated Breeding Techniques to Analyze the Characteristics of Consumer Goods,” in Evolutionary Algorithms in Management Applications, Biethahn., J. and V. Nissen(Ed.) Springer-Verlag, 1995, pp.211-224.
Terano, T. and Y. Ishira, “Knowledge Acquisition from Questionnaire Data Using Simulated Breeding and Inductive Learning Methods,” Expert Systems with Applications, Vol. 11, 1996, pp. 507-518.
Turban, E., and J. Meredith, Fundamentals of Management Science (6th), Burr Ridge, IL: Irwin, 1994.
Vaughn, K. M., M. Abdel-Aty and R. Kitamura, “A Framework for Developing a Daily Activity and Multimodel Travel Planner,” International Transactions in Operational Research, Vol. 6, 1999, pp. 107-121.
Veldhuizen, D. A. V. and G. B. Lamont, “Evolutionary Computation and Convergence to a Pareto Front,” in Genetic Programming 1998: Proceedings of the Third Annual Conference, San Francisco, CA: Morgan Kaufmann, 1998, pp. 22—25.
Venturini, G., M., F. Slimane, J. P. Morin, and Asselin de Beauville, “On Using Interactive Genetic Algorithms for Knowledge Discovery in Databases,” in Proceedings of the Seventh International Conference on Genetic Algorithm, Morgan Kaufmann Publisher, 1997, pp. 696 -703.
Watanabe, T. and H. Takagi, “Recovering System of the Distorted Speech Using Interactive Genetic Algorithms,” in Proceedings of the 1995 International Conference on SMC, Vol. 1, Vancouver, Canada, 1995, pp.684-689.new window
Yang, J., and R. R Korfhage, “Query Optimization in Information Retrieval Using Genetic Algorithms,” in Proceedings of the 5th International Conference on Genetic Algorithms, Urbana, IL, 1993, pp. 603-611.
Yin, R. K. Case Study Research: Design and Methods (2nd), Sage, 1994.
Zeleny, M., “The Attribute-Dynamic Attitude Model (ADAM),” Management Science, Vol. 23, No. 1, 1976, pp. 12-26.new window
Zeleny, M., Multiple Criteria Decision Making, McGraw Hill: New York, 1982.
Zopounidus, C., “Special Issue on Artificial Intelligence and Decision Support with Multiple Criteria,” Computers and Operations Research, Vol. 27, No. 7/8, 2000, pp. 597-599.
 
 
 
 
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