1. Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, and Ralph E. Steuer, editors. Practical Approaches to Multi-Objective Optimization, 7.-12. November 2004, volume 04461 of Dagstuhl Seminar Proceedings, 2005. Internationales Begegnungs- und Forschungszentrum (IBFI), Schloss Dagstuhl, Germany IBFI, Schloss Dagstuhl, Germany. [bibtex-entry]



2. C. Fonseca, P. Fleming, E. Zitzler, K. Deb, and L. Thiele, editors. Evolutionary Multi-Criterion Optimization (EMO 2003), volume 2632 of Lecture Notes in Computer Science, Berlin, Germany, 2003. Springer. [WWW ] [bibtex-entry]



3. K. Deb. Multi-Objective Optimization using Evolutionary Algorithms, Wiley-Interscience Series in Systems and Optimization. John Wiley & Sons, Chichester, 2001. [bibtex-entry]



4. E. Zitzler, K. Deb, L. Thiele, C. A. Coello Coello, and D. Corne, editors. Evolutionary Multi-Criterion Optimization (EMO 2001), volume 1993 of Lecture Notes in Computer Science, Berlin, Germany, 2001. Springer. [WWW ] [bibtex-entry]

1. Pradyumn Kumar Shukla and Kalyanmoy Deb. On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods. European Journal of Operational Research, 181(3):1630 - 1652, September 2007. [WWW ] [bibtex-entry]



2. K. Deb, L. Thiele, M. Laumanns, and E. Zitzler. Scalable Test Problems for Evolutionary Multi-Objective Optimization. In A. Abraham, R. Jain, and R. Goldberg, editors,Evolutionary Multiobjective Optimization: Theoretical Advances and Applications, chapter 6, pages 105--145. Springer, 2005. [WWW ] [bibtex-entry]



3. M. Laumanns, L. Thiele, K. Deb, and E. Zitzler. Combining Convergence and Diversity in Evolutionary Multiobjective Optimization. Evolutionary Computation, 10(3):263--282, 2002. [bibtex-entry]



4. K. Deb. Nonlinear goal programming using multi-objective genetic algorithms. Journal of the Operational Research Society, 52(3):291-302, 2001. [bibtex-entry]



5. E. Zitzler, K. Deb, and L. Thiele. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evolutionary Computation, 8(2):173--195, 2000. [bibtex-entry]



6. N. Srinivas and K. Deb. Multiple Objective Optimization Using Nondominated Sorting in genetic algorithms. Evolutionary Computation, 2(2):221-248, 1994. [bibtex-entry]

1. K. Deb, L. Thiele, M. Laumanns, and E. Zitzler. Scalable Multi-Objective Optimization Test Problems. In Congress on Evolutionary Computation (CEC 2002), pages 825--830, 2002. IEEE Press. [bibtex-entry]



2. M. Laumanns, L. Thiele, K. Deb, and E. Zitzler. Archiving with Guaranteed Convergence And Diversity in Multi-objective Optimization. In Genetic and Evolutionary Computation Conference (GECCO 2002), New York, NY, USA, pages 439--447, July 2002. Morgan Kaufmann Publishers. [bibtex-entry]



3. M. Laumanns, L. Thiele, E. Zitzler, E. Welzl, and K. Deb. Running time analysis of multi-objective evolutionary algorithms on a simple discrete optimization problem. In Conference on Parallel Problem Solving From Nature (PPSN VII), Lecture Notes in Computer Science Vol. 2439, pages 44--53, 2002. Springer. [bibtex-entry]



4. K. Deb and T. Goel. Controlled Elitist Non-Dominated Sorting genetic algorithms for Better Convergence. In K. Deb, L. Thiele, C.A. Coello, D. Corne, and E. Zitzler, editors, Evolutionary Multi-Crietriaon Optimization. EMO 2001, March 7 --9, 2001, Zürich. Proceedings, volume 1993 of Lecture Notes in Computer Science, 2001. Springer Verlag, Berlin. [bibtex-entry]



5. E. Zitzler, K. Deb, and L. Thiele. Comparison of Multiobjective Evolutionary Algorithms on Test Functions of Different Difficulty. In Genetic and Evolutionary Computation Conference (GECCO 1999): Bird-of-a-feather Workshop on Multi-criterion Optimization, July 1999. [bibtex-entry]

1. M. Laumanns, L. Thiele, E. Zitzler, E. Welzl, and K. Deb. Running time analysis of a multi-objective evolutionary algorithm on a simple discrete optimization problem. Technical report 123, Computer Engineering and Networks Laboratory, ETH Zurich, January 2002. [bibtex-entry]



2. K. Deb, L. Thiele, M. Laumanns, and E. Zitzler. Scalable Test Problems for Evolutionary Multi-Objective Optimization. Technical report 112, Computer Engineering and Networks Laboratory, ETH Zurich, July 2001. [bibtex-entry]



3. M. Laumanns, L. Thiele, K. Deb, and E. Zitzler. On the Convergence and Diversity-Preservation Properties of Multi-Objective Evolutionary Algorithms. Technical report 108, Computer Engineering and Networks Laboratory, ETH Zurich, 2001. [bibtex-entry]



4. E. Zitzler, K. Deb, and L. Thiele. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Revised Version). Technical report 70, Computer Engineering and Networks Laboratory, ETH Zurich, December 1999. [bibtex-entry]

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