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References
Abbass, H.A., Sarkar, R., Newton, C. (2001). PDE: A Pareto-frontier Differential Evolution Approach for Multi-objective Optimization Problems,
I Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 971—978.
Andersson, J. (2001) Multiobjective Optimization in Engineering Design, PhD Thesis, Division of Fluid and Mechanical Engineering Systems, Linköpings University, Sweden.
Balling, R.J. (2001) Pareto sets in decision-based design, Journal of Engineering Valuation and Cost Analysis, 3: 189—198.
Barbosa, H.J.C., Barreto, A.M.S. (2001) An interactive genetic algorithm with co-evolution of weights for multiobjective problems, in L. Spector et al. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 203–210, Morgan Kaufmann Publishers, San Francisco, CA.
Benson, H.P. (1978) Existence of efficient solutions for vector maximization problems, Journal of Optimization Theory and Applications, 26(4): 569–580.
Binh, T.T., Korn, U. (1997) Multiobjective Evolution Strategy for Constrained Optimization Problems, In Proc. of the IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics, pages 357–362, Berlin, Germany.
Box, G.E.P. (1957) Evolutionary operation: method for increasing industrial productivity, Applied Statistics, 6(2): 81–101.
Chen, H.W., Chang, N–B. (1998) Water pollution control in the river basin by fuzzy genetic algorithm based multiobjective programming modeling, Water Science & Technology, 37(8): 55–63.
Chipperfield, A.J. and Fleming, P.J. (1996) Multiobjective Gas Turbine Engine Controller Design Using Genetic Algrithms. IEEE Transactions on Industrial Electronics, 43(5).
Coello Coello, C.A. (2000) Treating Constraints as Objectives for Single-Objective Evolutionary Optimization, Engineering Optimization, 32(3): 275–308.
Coello Coello, C.A., Lechuga, M.S. (2002) MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1051--1056, IEEE Service Center, Piscataway, New Jersey.
Coello Coello, C.A., Van Veldhuizen, D.A., Lamont, G.B. (2002) Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer, Boston.
Corne, D.W., Knowles, J.D. (2003) The NFL Paper
Corne, D.W., Knowles, J.D., Oates, M.J. (2000) The Pareto envelope-based selection algorithm for multiobjective optimisation, in Proceedings of Parallel Problem Solving from Nature VI (PPSN-VI), Springer, pp. 839–848.
Cvetkovic, D., Parmee, I.C. (2002a) Preferences and their Application in Evolutionary Multiobjective Optimisation. IEEE Transactions on Evolutionary Computation, 6(1): 42—57.
Cvetkovic, D., Parmee, I.C. (2002b) Agent-based Support within an Interactive Evolutionary Design System, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 355–367, Springer-Verlag.
Czyzak, P., Jaszkiewicz, A. (1997) Pareto Simulated Annealing, In G. Fandel and T. Gal, editors, Multiple Criteria Decision Making. Proceedings of the XIIth International Conference, pages 297–307, Hagen, Germany, Springer-Verlag.
Dakev, N.V., Whidborne, J.F., Chipperfield, A.J, Fleming, P.J. (1997) design of an EMS control system for a maglev vehicle using evolutionary algorithms. Proceedings of IMechE-I Part I: Journal of Systems and Control Engineering, 311(4): 345—355.
Dasgupta, P., Chakrabarti, P.P., DeSarkar, S.C. (1999) Multiobjective Heuristic Search, Vieweg, Wiesbaden, Germany.
Deb, K. (2001) Multi-Objective Optimization using Evolutionary Algorithms, Wiley, Chichester, UK.
Deb, K., Agrawal, S., Pratap, A., Meyarivan, T. (2000) A fast elitist nondominated sorting genetic algorithm for multi-objective optimization – NSGA-II, in Proceedings of Parallel Problem Solving from Nature VI (PPSN-VI), Springer, pp. 849–858.
Duenas, A., Mort, N. (2001) A Genetic Algorithm for Multiobjective Optimisation using the interactive Sequential Multiobjective Problem Solving Method, Proceedings of the International Conference on Artificial Intelligence (IC-AI'2001), pp. 633–639, CSREA Press, Las Vegas, Nevada, June 2001.
Fogel, L.J., Owens, A.J., Walsh, M.J. (1966) Artificial Intelligence through Simulated Evolution, Wiley, New York.
Fonseca, C.M. (1995) Multiobjective Genetic Algorithms with Applications to Control Engineering problems, PhD thesis, Dept of Automatic Control and Engineering, University of Sheffield, UK.
Fonseca, C.M., Fleming, P.J. (1993) Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization, in Proceedings of the Fifth International Conference on Genetic Algorithms, Morgan Kaufmann, San Francisco, pp. 416–423.
Fonseca, C.M., Fleming, P.J. (1998) Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms--Part I: A Unified Formulation. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 28(1): 26–37.
Goldberg, D.E. (1989) Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA.
Gravel, M.,Price, W.L., Gagné, C. (2001). Scheduling Continuous Casting of Aluminum Using a Multiple-Objective Ant Colony Optimization Metaheuristic. Technical Report 2001-004, Faculté des Sciences de L'Administration, Université Laval, Québec, Canada.
Halhal, D., Walters, G.A., Ouazar, D., Savic, D.A. (1997) Multi-objective improvement of water distribution systems using a structured messy genetic algorithm approach, Journal of Water Resources Planning & Management ASCE, 123(3): 137–146.
Horn, J., Napfliotis, N., Goldberg, D.E. (1994) A niched Pareto genetic algorithm for multiobjective optimization, in Proceedings of the first IEEE Conference on Evolutionary Computation, pp. 82–87.
Hu, X., Eberhart, R. (2002) Multiobjective Optimization Using Dynamic Neighborhood Particle Swarm Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1677–1681, IEEE Service Center, Piscataway, New Jersey.
Hughes, E.J. (2001). Constraint Handling With Uncertain and Noisy Multi-Objective Evolution, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 963–970.
Ishibuchi, H. and Murata, T. (1996) Multi-objectie genetic local search algorithm, in Proc. Of the 3rd IEEE International Conference on Evolutionary Computation, pp. 119–124, IEEE Press.
Ishibuchi, H., Yoshida, T. (2002) Hybrid Evolutionary Multi-Objective Algorithms, in A. Abraham, J. Ruiz-del-Solar, M. Köppen (eds.), Soft Computing Systems: Design, Management and Applications, IOS Press, pp. 163–172.
Jaszkiewicz, A. (2002) Genetic local search for multi-objective combinatorial optimization, EJOR, 137(3): 50–71.
Kim, Y–J., Ghaboussi, J. (1999) A New Method of Reduced Order Feedback Control Using Genetic Algorithms. Earthquake Engineering and Structural Dynamics, 28(2): 193-212.
Kita, H., Shibuya, M., Kobayashi, S. (1999) Integration of multi-objective and interactive genetic algorithms and its application to animation design, In Proceedings of IEEE Systems, Man, and Cybernetics, volume III, pages 646–651.
Kumar, S.V., Ranjithan, S. (2002) Evaluation of the Constraint Method-Based Evolutionary Algorithm (CMEA) for a Tree-Objective Optimization Problem, GECCO-2002 Proceedings of the Genetic and Evolutionary Computation Conference, Morgan Kaufmann Publishers, New York.
Kung, H.T., Luccio, F. and Preparata, F.P. (1975) On finding the maxima of a set of vectors, Journal of the Association for Computing Machinery, 22(4): 469–476.
Knowles, J.D. (2002) Local Search and Hybrid Evolutionary Algorithms for Pareto Optimization, PhD Thesis, Department of Computer Science, University of Reading, UK.
Knowles, J.D., Corne, D.W. (2000) Approximating the non-dominated front using the Pareto Archived Evolution Strategy, Evolutionary Computation, 8(2): 149–172.
Knowles, J.D., Corne, D.W. (2002) Towards landscape analyes to inform the design of a hybrid local search for the multiobjective quadratic assignment problem, in A. Abraham, J. Ruiz-del-Solar, M. Köppen (eds.), Soft Computing Systems: Design, Management and Applications, IOS Press, pp. 271–279.
Knowles, J.D., Corne, D.W. (2003) The New ToEC Paper
Knowles, J.D., Oates, M.J., Corne, D.W. (2000) Multiobjective Evolutionary Algorithms Applied to two Problems in Telecommunications, BT Technology Journal, 18(4):51-64.
Laumanns, M., Thiele, L., Deb, K., Zitzler, E. (2001) On the Convergence and Diversity-Preservation Properties of Multi-Objective Evolutionary Algorithms, Technical Report 108, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland, May 2001.
Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G. and Shmoys, D.B. (eds.) (1995) The Travelling Salesman Problem: A Guided Tour of Combinatorial Optimization, Wiley, Chichester, UK.
Lo, C–C., Chang, W–H. (2000) A Multiobjective Hybrid Genetic Algorithm for Capacitated Multipoint Network Design Problem. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, 30(3):461—470.
Mariano, C.E., Morales, E. (1999) A Multiple Objective Ant-Q Algorithm for the Design of Water Distribution Irrigation Networks, Technical Report HC-9904, Instituto Mexicano de Tecnologıa del Agua, June.
Merz, P. (2000) Memetic Algorithms for Combinatorial Optimization Problems: Fitness Landscapes and Effective Search Strategies, Ph.D. thesis, Department of Electrical Engineering and Computer Science, University of Siegen, Germany, 2000.
Merz, P., Freisleben, B. (2000) Fitness Landscape Analysis and Memetic Algorithms for the Quadratic Assignment Problem, IEEE Transactions on Evolutionary Computation, vol. 4, no. 4, pp. 337–352.
Michalewicz, Z. and Fogel, D.B. (2000) How to solve it: Modern Heuristics, Springer Verlag, Berlin.
Miettinen, K. (1999) Nonlinear Multiobjective Optimization, Kluwer, Boston.
Neef, M., Thierens, D., Arciszewski, H. (1999) A case study of a multiobjective recombinative genetic algorithm with coevolutionary sharing, in Proceedings of the 1999 IEEE Congress on Evolutionary Computation (CEC’99), pp. 796–803.
Osyczka, A., Krenich, S. (2000) A New Constraint Tournament Selection Method for Multicriteria Optimization using Genetic Algorithm, In 2000 Congress on Evolutionary Computation, volume 1, pages 501–507, Piscataway, New Jersey, July 2000. IEEE Service Center.
Pareto, V. (1906) Manuale di economica politica.
Parmee, I.C., Cvetkovic, D., Watson, A.H., Bonham, C.R. (2000) Multi-objective Satisfaction within an Interactive Evolutionary Design Environment. Evolutionary Computation, 8(2): 197—222.
Park, K–W., Grierson, D.E. (1999) Pareto-Optimal Conceptual Design of the Structural Layout of Buildings Using a Multicriteria Genetic Algorithm. Computer-Aided Civil and Infrastructure Engineering, 14(3):163—170.
Parks, G.T., and Miller, I. (1998). Selective Breeding in a Multiobjective Genetic Algorithm, In A. E. Eiben, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pp. 250–259, Amsterdam, Holland. Springer-Verlag.
Parsopoulos, K.E., Vrahatis, M.N. (2002) Particle Swarm Optimization Method in Multiobjective Problems, Proceedings of the 2002 ACM Symposium on Applied Computing (SAC 2002), pp. 603–607.
Ramírez-Rosado, I–L., Bernal-Agustín, J–L. (2001) Relability and Cost Optimization for Distribution Networks Expansion Using an Evolutionary Algorithm, IEEE Transactions on Power Systems, 16(1)111—118.
Reed, P.M., Minsker, B.S., Goldber, D.E. (2001) A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data, Journal of Hydroinformatics, 3(2):71—89.
Rudolph, G. (1998). Evolutionary Search for Minimal Elements in Partially Ordered Finite Sets. In V.W. Porto, N. Saravanan, D. Waagen, and A.E. Eiben, editors, Evolutionary Programming VII, Proceedings of the 7th Annual Conference on Evolutionary Programming, pages 345-353, Berlin, 1998. Springer .
Rudolph, G., Agapie, A. (2000) Convergence Properties of Some Multi-Objective Evolutionary Algorithms, In Proceedings of the 2000 Conference on Evolutionary Computation, volume 2, pages 1010-1016, Piscataway, New Jersey, July 2000. IEEE Press.
Schaffer, J.D. (1984) Some Experiments in Machine Learning using Vector Evaluated Genetic Algorithms, PhD Thesis, Vanderbilt University, Nashville, TN.
Shaw, K.J., Fleming, P.J. (1997) Use of Rules and Preferences for Schedule Builders in Genetic Algorithms Production Scheduling, in D. Corne and J. Shapiro, editors, Proceedings of the AISB'97 Workshop on Evolutionary Computation. Lecture Notes in Computer Science No. 1305, Manchester University, 1997. Springer-Verlag.
Srinivas, N., Deb, K. (1994) Multiobjective function optimization using non-dominated sorting genetic algorithm, Evolutionary Computation, 2(3): 221–248.
Steuer, R.E. (1986) Multiple Criteria Optimization: Theory, Computation and Application, Wiley, New York.
Surry, P.D., Radcliffe, N.J. (1997) The COMOGA Method: Constrained Optimisation by Multiobjective Genetic Algorithms. Control and Cybernetics, 26(3): 391–412.
Van Veldhuizen, D.A. (1999) Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations, PhD Thesis, Dept of Electrical and Computer Engineering, Graduate School of Engineering, Air Force Institute of Technology, Wright-Paterson Air Force Base,Ohio.
Wolpert, D.H. and Macready, W.G. (1997) No Free Lunch Theorems for Optimization, IEEE Transactions on Evolutionary Computation 1(1): 67–82.
Zitzler, E. (2001) Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications, PhD Thesis, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland.
Zitzler, E., Thiele, L. (2000). Multiobjective optimization using evolutionary algorithms – a comparative case study, in Proceedings of Parallel Problem Solving from Nature V (PPSN-V), Springer, pp. 292–301.
Zitzler, E., Deb, K., Thiele, L. (2000). Comparison of multiobjective evolutionary algorithms: Empirical results, Evolutionary Computation, 8(2): 145–148.
Zitzler, E., Deb, K., Thiele, L., Coello, C., Corne, D.W. (eds.) (2001) Evlutionary Multi-Criterion Optimization: First International Conference, Springer LNCS 1993, Springer, 714pp.
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