1. Marco Laumanns, Lothar Thiele, and Eckart Zitzler. An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method. European Journal of Operational Research, 169(3):932-942, March 2006. [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, and E. Zitzler. Running Time Analysis of Multiobjective Evolutionary Algorithms on Pseudo-Boolean Functions. IEEE Transactions on Evolutionary Computation, 8(2):170--182, 2004. [bibtex-entry]



4. M. Laumanns, L. Thiele, and E. Zitzler. Running Time Analysis of Evolutionary Algorithms on a Simplified Multiobjective Knapsack Problem. Natural Computing, 3(1):37--51, 2004. [bibtex-entry]



5. E. Zitzler, L. Thiele, M. Laumanns, C. M. Foneseca, and V. Grunert da Fonseca. Performance Assessment of Multiobjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionary Computation, 7(2):117--132, 2003. [bibtex-entry]



6. 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]

1. E. Zitzler, M. Laumanns, and S. Bleuler. A Tutorial on Evolutionary Multiobjective Optimization. In X. Gandibleux and others, editors, Metaheuristics for Multiobjective Optimisation, Lecture Notes in Economics and Mathematical Systems, 2004. Springer. [bibtex-entry]



2. S. Bleuler, M. Laumanns, L. Thiele, and E. Zitzler. PISA --- A Platform and Programming Language Independent Interface for Search Algorithms. In C. M. Fonseca, P. J. Fleming, E. Zitzler, K. Deb, and L. Thiele, editors, Conference on Evolutionary Multi-Criterion Optimization (EMO 2003), volume 2632 of Lecture Notes in Computer Science, Berlin, pages 494--508, 2003. Springer. [WWW ] [bibtex-entry]



3. 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]



4. 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]



5. 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]



6. E. Zitzler, M. Laumanns, L. Thiele, C. M. Fonseca, and V. Grunert da Fonseca. Why Quality Assessment Of Multiobjective Optimizers Is Difficult. In Genetic and Evolutionary Computation Conference (GECCO 2002), New York, NY, USA, pages 666--674, July 2002. Morgan Kaufmann Publishers. [bibtex-entry]



7. E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization. In K.C. Giannakoglou and others, editors, Evolutionary Methods for Design, Optimisation and Control with Application to Industrial Problems (EUROGEN 2001), pages 95--100, 2002. International Center for Numerical Methods in Engineering (CIMNE). [bibtex-entry]



8. M. Laumanns, E. Zitzler, and L. Thiele. On The Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-Objective Optimization. In E. Zitzler and others, editors, Conference on Evolutionary Multi-Criterion Optimization (EMO 2001), volume 1993 of Lecture Notes in Computer Science, pages 181--196, 2001. Springer. [bibtex-entry]



9. M. Laumanns, E. Zitzler, and L. Thiele. Multiple Criteria Decision Support by Evolutionary Computation. In Sustainability in the Information Society. 15th International Symposium Informatics for Environmental Protection, Zurich, Switzerland, pages 547--552, October 2001. Metropolis Verlag. [bibtex-entry]



10. M. Laumanns, E. Zitzler, and L. Thiele. A Unified Model for Multi-Objective Evolutionary Algorithms with Elitism. In Congress on Evolutionary Computation (CEC 2000), pages 46--53, 2000. IEEE Press. [bibtex-entry]

1. M. Laumanns, L. Thiele, and E. Zitzler. Running Time Analysis of Evolutionary Algorithms on Vector-Valued Pseudo-Boolean Functions. Technical report 165, Computer Engineering and Networks Laboratory, ETH Zurich, May 2003. [bibtex-entry]



2. S. Bleuler, M. Laumanns, L. Thiele, and E. Zitzler. PISA --- A Platform and Programming Language Independent Interface for Search Algorithms. TIK Report 154, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, october 2002. [bibtex-entry]



3. 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]



4. E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. Grunert da Fonseca. Performance Assessment of Multiobjective Optimizers: An Analysis and Review. Technical report 139, Computer Engineering and Networks Laboratory, ETH Zurich, June 2002. [bibtex-entry]



5. 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]



6. 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]



7. E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical report 103, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, Zurich, Switzerland, 2001. [bibtex-entry]

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