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Publications of Eckart Zitzler
Books and proceedings
  1. C. A. Coello Coello, A. Hernandez Aguirre, and E. Zitzler, editors. Evolutionary Multi-Criterion Optimization (EMO 2005), volume 3242 of Lecture Notes in Computer Science, Berlin, Germany, 2005. Springer. [WWW ] [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. 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]


Thesis
  1. E. Zitzler. Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications. PhD thesis, ETH Zurich, Switzerland, 1999. [bibtex-entry]


Articles in journal or book's chapters
  1. S. Bleuler, J. Bader, and E. Zitzler. Reducing Bloat in GP with Multiple Objectives. In J. Knowles, D. Corne, and K. Deb, editors,Multi-Objective Problem Solving from Nature: From Concepts to Applications. Springer, 2007. [bibtex-entry]


  2. Carlos A. Coello coello, Arturo Hernandez Aguirre, and Eckart Zitzler. Evolutionary multi-objective optimization. European Journal of Operational Research, 181(3), September 2007. [WWW ] [bibtex-entry]


  3. M. Basseur and E. Zitzler. Handling Uncertainty in Indicator-Based Multiobjective Optimization. International Journal of Computational Intelligence Research, 2(3):255--272, 2006. [bibtex-entry]


  4. S. Künzli, L. Thiele, and E. Zitzler. Multi-criteria Decision Making in Embedded System Design. In B. M. Al-Hashimi, editor,System On Chip: Next Generation Electronics, pages 3--28. IEE Press, London, UK, 2006. [bibtex-entry]


  5. 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]


  6. 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]


  7. S. Künzli, L. Thiele, and E. Zitzler. Modular Design Space Exploration Framework for Embedded Systems. IEE Proceedings Computers and Digital Techniques, 152(2):183--192, 2005. [bibtex-entry]


  8. S. Künzli, S. Bleuler, L. Thiele, and E. Zitzler. A Computer Engineering Benchmark Application for Multiobjective Optimizers. In C. A. Coello Coello and G. Lamont, editors,Applications of Multi-Objective Evolutionary Algorithms, pages 269--294. World Scientific Publishing, Singapore, 2004. [WWW ] [bibtex-entry]


  9. 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]


  10. 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]


  11. R. Hubley, E. Zitzler, and J. Roach. Evolutionary algorithms for the selection of single nucleotide polymorphisms. BMC Bioinformatics, 4(30), 2003. [WWW ] [bibtex-entry]


  12. 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]


  13. 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]


  14. M. Eisenring, L. Thiele, and E. Zitzler. Conflicting Criteria in Embedded System Design. IEEE Design & Test, 17(2):51--59, 2000. [bibtex-entry]


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


  16. E. Zitzler, J. Teich, and S. S. Bhattacharyya. Multidimensional Exploration of Software Implementations for DSP Algorithms. Journal of VLSI Signal Processing, 24(1):83--98, 2000. [bibtex-entry]


  17. E. Zitzler and L. Thiele. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Evolutionary Algorithm. IEEE Transactions on Evolutionary Computation, 3(4):257-271, 1999. [bibtex-entry]


Conference's articles
  1. D. Brockhoff, T. Friedrich, N. Hebbinghaus, C. Klein, F. Neumann, and E. Zitzler. Do Additional Objectives Make a Problem Harder?. In D. Thierens and others, editors, Genetic and Evolutionary Computation Conference (GECCO 2007), New York, NY, USA, pages 765--772, 2007. ACM Press. [WWW ] [bibtex-entry]


  2. D. Brockhoff and E. Zitzler. Dimensionality Reduction in Multiobjective Optimization: The Minimum Objective Subset Problem. In K. H. Waldmann and U. M. Stocker, editors, Operations Research Proceedings 2006, pages 423--429, 2007. Springer. [WWW ] [bibtex-entry]


  3. D. Brockhoff and E. Zitzler. Improving Hypervolume-based Multiobjective Evolutionary Algorithms by Using Objective Reduction Methods. In Congress on Evolutionary Computation (CEC 2007), 2007.
    Note: To appear. [bibtex-entry]


  4. E. Zitzler, D. Brockhoff, and L. Thiele. The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration. In S. Obayashi and others, editors, Conference on Evolutionary Multi-Criterion Optimization (EMO 2007), volume 4403 of LNCS, Berlin, pages 862--876, 2007. Springer. [WWW ] [bibtex-entry]


  5. M. Basseur and E. Zitzler. A Preliminary Study On Handling Uncertainty in Multiobjective Optimization. In F. Rothlauf, J. Branke, S. Cagnoni, and others, editors, European Workshop on Evolultionary Algorithms in Stochastic and Noisy Environments (EvoSTOC 2006), pages 727--739, 2006. Springer. [bibtex-entry]


  6. D. Brockhoff and E. Zitzler. Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization. In T. P. Runarsson and others, editors, Conference on Parallel Problem Solving from Nature (PPSN IX), volume 4193 of LNCS, Berlin, Germany, pages 533--542, 2006. Springer. [WWW ] [bibtex-entry]


  7. M. Calonder, S. Bleuler, and E. Zitzler. Module Identification from Heterogeneous Biological Data Using Multiobjective Evolutionary Algorithms. In Conference on Parallel Problem Solving from Nature (PPSN IX), number 4193 of LNCS, pages 573--582, 2006. Springer. [WWW ] [bibtex-entry]


  8. E. Zitzler and S. Künzli. Indicator-Based Selection in Multiobjective Search. In Conference on Parallel Problem Solving from Nature (PPSN VIII), pages 832--842, 2004. Springer. [bibtex-entry]


  9. 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]


  10. 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]


  11. 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]


  12. R. Hubley, E. Zitzler, A. Siegel, and J. Roach. Multiobjective Genetic Marker Selection. In Advances in Nature-Inspired Computation: The PPSN VII Workshops, pages 32--33, September 2002. University of Reading, UK. [bibtex-entry]


  13. 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]


  14. 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]


  15. E. Zitzler. Evolutionary Algorithms for Multiobjective Optimization. In Evolutionary Methods for Design, Optimisation, and Control (EUROGEN 2001), pages 19--26, 2002. CIMNE. [bibtex-entry]


  16. 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]


  17. 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]


  18. S. Bleuler, M. Brack, L. Thiele, and E. Zitzler. Multiobjective Genetic Programming: Reducing Bloat by Using SPEA2. In Congress on Evolutionary Computation (CEC 2001), Piscataway, NJ, pages 536--543, 2001. IEEE. [bibtex-entry]


  19. 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]


  20. 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]


  21. 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]


  22. J. Teich, E. Zitzler, and S. Bhattacharyya. 3D Exploration of Software Schedules for DSP Algorithms. In Hardware/Software Codesign (CODES 1999), May 1999. [bibtex-entry]


  23. 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]


  24. E. Zitzler, J. Teich, and S. Bhattacharyya. Evolutionary Algorithm Based Exploration of Software Schedules for Digital Signal Processors. In Genetic and Evolutionary Computation Conference (GECCO 1999), Orlando, USA, pages 1762--1769, July 1999. Morgan Kaufmann, San Francisco, CA. [bibtex-entry]


  25. E. Zitzler and L. Thiele. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study. In Conference on Parallel Problem Solving from Nature (PPSN V), Amsterdam, pages 292--301, 1998. [bibtex-entry]


Internal reports
  1. D. Brockhoff and E. Zitzler. Offline and Online Objective Reduction in Evolutionary Multiobjective Optimization Based on Objective Conflicts. TIK Report 269, Institut für Technische Informatik und Kommunikationsnetze, ETH Zürich, April 2007. [bibtex-entry]


  2. D. Brockhoff and E. Zitzler. On Objective Conflicts and Objective Reduction in Multiple Criteria Optimization. TIK Report 243, Institut für Technische Informatik und Kommunikationsnetze, ETH Zürich, february 2006. [bibtex-entry]


  3. D. Brockhoff and E. Zitzler. Dimensionality Reduction in Multiobjective Optimization with (Partial) Dominance Structure Preservation: Generalized Minimum Objective Subset Problems. TIK Report 247, Institut für Technische Informatik und Kommunikationsnetze, ETH Zürich, April 2006. [bibtex-entry]


  4. J. Knowles, L. Thiele, and E. Zitzler. A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers. TIK Report 214, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, february 2006. [bibtex-entry]


  5. 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]


  6. 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]


  7. 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]


  8. 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]


  9. 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]


  10. 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]


  11. 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]


  12. M. Eisenring, E. Zitzler, and L. Thiele. CoFrame: A Modular Co-Design Framework for Heterogeneous Distributed Systems. Technical report 81, Computer Engineering and Networks Laboratory, ETH Zurich, October 1999. [bibtex-entry]


  13. J. Teich, E. Zitzler, and S. Bhattacharyya. 3D Exploration of Uniprocessor Schedules for DSP Algorithms. Technical report 56, Computer Engineering and Networks Laboratory, ETH Zurich, April 1999. [bibtex-entry]


  14. 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]


  15. E. Zitzler and L. Thiele. An Evolutionary Algorithm for Multiobjective Optimization: The Strength Pareto Approach. Technical report 43, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH), Zürich, Switzerland, 1998. [bibtex-entry]



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Last modified: Sun Nov 1 08:23:56 2009 by theme1.
This MCDA bibliography is updated by Vincent Mousseau.
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