List of References on Evolutionary Multiobjective Optimization

List of References on Evolutionary Multiobjective Optimization

Maintained by

Carlos A. Coello Coello
ccoello@cs.cinvestav.mx
CINVESTAV-IPN
Sección de Computación
Departamento de Ingeniería Eléctrica
Av. Instituto Politécnico Nacional No. 2508
Col. San Pedro Zacatenco
México, D.F. 07300

Last Update: October 29th, 2002

(Keep in mind that this list is constantly being updated)


Author: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

This list as a BibTeX, Gzipped PDF, Gzipped Postscript, or DVI file.

    A

  1. Hussein A. Abbass, Ruhul Sarker and Charles Newton. PDE: A Pareto-frontier Differential Evolution Approach for Multi-objective Optimization Problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 971--978, May 2001
  2. Hussein A. Abbass. The Self-Adaptive Pareto Differential Evolution Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 831--836, IEEE Service Center, Piscataway, New Jersey, May 2002
  3. M. F. Abbod, D. A. Linkens, and M. Mahfouf. Multi-Objective Genetic Optimization for Self-Organizing Fuzzy Logic Control. In Proceedings of UKACC Control'98, pages 1575-1580, University of Wales Swansea, UK, september 1998. IEE.
  4. M.A. Abido. Halftone Image Generation with Improved Multiobjective Genetic Algorithm. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 501-515. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.
  5. Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Optimal Pairwise Geometric Histograms. In Adrian F. Clark, editor, Electronic Proceedings of the Eighth British Machine Vision Conference, BMVC97, University of Essex, United Kingdom, September 1997.
  6. Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Automatic Parameter Selection for Object Recognition using a Parallel Multiobjective Genetic Algorithm. In Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns (CAIP'97), Lecture Notes in Computer Science 1296, pages 559-566, Kiel, Germany, September 1997. Springer Verlag.
  7. Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Optimising Object Recognition Parameters using a Parallel Multiobjective Genetic Algorithm, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 1-6, Glasgow, Scotland, September 1997. IEE.
  8. M. E. Alemany and C. Andrés and E. Vicens. A new genetic algorithm for the machine grouping problem with multiple objectives, in Ashayeri and Sullivan and Ahmad (eds), Proceedings of Flexible Automation and Intelligent Manufacturing (FAIM 1999), pp. 461--473, 1999
  9. Robin Allenson. Genetic algorithms with gender for multi-function optimisation, Technical Report EPCC-SS92-01, Edinburgh Parallel Computing Centre, Edinburgh, Scotland, 1992.
  10. P. Alotto, A. V. Kuntsevitch, Ch. Magele, G. Molinari, C. Paul, K. Preis, M. Repetto, and K. R. Richter. Multiobjective Optimization in Magnetostatics: A Proposal for Benchmark Problems. Technical report, Institut für Grundlagen und Theorie Electrotechnik, Technische Universität Graz, Graz, Austria, 1996. http://www-igte.tu-graz.ac.at/team/berl01.htm
  11. M. Joao Alves and Joao Clímaco. An Interactive Method for 0-1 Multiobjective Problems Using Simulated Annealing and Tabu Search. Journal of Heuristics, 6(3):385-403, August 2000.
  12. Ahmad Al-Yamani, Sadiq M. Sait and Hassan R. Barada. HPTS: Heterogeneous Parallel Tabu Search for VLSI Placement, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 351--355, IEEE Service Center, Piscataway, New Jersey, May 2002
  13. Kevin P. Anchor, Jesse B. Zydallis, Gregg H. Gunsch and Gary B. Lamont. Extending the Computer Defense Immune System: Network Intrusion Detection with a Multiobjective Evolutionary Programming Approach, in Jonathan Timmis and Peter J. Bentley (editors), First International Conference on Artificial Immune Systems (ICARIS'2002), pp. 12--21, University of Kent at Canterbury, Inglaterra, ISBN 1-902671-32-5, September 2002 .
  14. Murray B. Anderson and Glenn A. Gerbert. Using Pareto Genetic Algorithms for Preliminary Subsonic Wing Design, Technical Report AIAA-96-4023-CP, AIAA, Washington, D.C., 1996.
  15. M. B. Anderson, W. R. Lawrence, and G. A. Gebert. Using an Elitist Pareto Genetic Algorithm for Aerodynamic Data Extraction. In 4th Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1996. AIAA Paper 96-0514.
  16. M. B. Anderson and W. R. Lawrence. Launch Conditions and Aerodynamic Data Extraction By An Elitist Pareto Genetic Algorithm. In AIAA Atmospheric Flight Mechanics Conference, San Diego, California, July 1996. AIAA Paper 96-3361.
  17. Murray B. Anderson. Using Pareto Genetic Algorithms for Preliminary Subsonic Wing Design. In 6th AIAA/NASA/USAF Multidisciplinary Analysis and Optimization Symposium, Bellevue, Washington, September 1996. AIAA Paper 96-4023.
  18. Jessica M. Anderson, Tessa M. Sayers, and M. G. H. Bell. Optimization of a Fuzzy Logic Traffic Signal Controller by a Multiobjective Genetic Algorithm, In Proceedings of the Ninth International Conference on Road Transport Information and Control, pages 186-190, London, April 1998. IEE.
  19. Murray B. Anderson, J. E. Burkhalter, and R. M. Jenkins. Missile Aerodynamic Shape Optimization Using Genetic Algorithms. In AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1999. AIAA Paper 99-0261.
  20. M.B. Anderson, J.E. Burkhalter and R.M. Jenkins. Missile Aerodynamic Shape Optimization Using Genetic Algorithms, Journal of Spacecraft and Rockets, Vol. 37, No. 5, pp. 663--669, September-October 2000.
  21. Johan Andersson, Jochen Pohl, and Petter Krus. Design of Objective Functions for Optimization of Multi-domain Systems, Proceedings of the 1998 ASME Winter Meeting, Fuild Power Systems and Technology, Anaheim, California, November 15-20, 1998
  22. Johan Andersson. A Survey of Multiobjective Optimization in Engineering Design, Technical Report No. LiTH-IKP-R-1097, Department of Mechanical Engineering, Linköping University, 2000.
  23. Johan Andersson, Petter Krus and David Wallace. Multi-Objective Optimization of Hydraulic Actuator Systems, Proceedings of the 2000 ASME Design Automation Conference, Paper DAC-14512, Baltimore, Maryland, September 2000
  24. Johan Andersson. Multiobjective Optimization in Engineering Design, PhD Thesis, Linköpings University, Division of Fluid and Mechanical Engineering Systems, Linköping, Sweden, 2001
  25. Johan Andersson and Petter Krus. Metamodel Representations for Robustness Assessment in Multiobjective Optimization, Proceedings of the 13th International Conference on Engineering Design (ICED'01), Glasgow, UK, August 2001.
  26. Kiam Heong Ang and Yun Li. Multi-Objective Benchmark Studies for Evolutionary Computation, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 393--396, July 2001
  27. Kiam Heong Ang, Yun Li and Kay Chen Tan. Multi-Objective Benchmark Functions and Benchmark Studies for Evolutionary Computation, Proceedings of the International Conference on Computational Intelligence for Modelling and Automation (CIMCA'2001), Las Vegas, Nevada, pp. 132--139, July 2001
  28. Kiam Heong Ang, Gregory Chong and Yun Li. Preliminary Statement on the Current Progress of Multi-Objective Evolutionary Algorithm Performance Measurement, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1139--1144, IEEE Service Center, Piscataway, New Jersey, May 2002
  29. B. Arkov, D.C. Evans, P.J. Fleming, D.C. Hill, J.P. Norton, I. Pratt, D. Rees, and K. Rodríguez Vázquez. System Identification Strategies Applied to Aircraft Gas-Turbine Engines. In 14th IFAC World Congress, volume 1, pages 145-152, Beijing, China, July 1999.
  30. T. Arslan, D. H. Horrocks, and E. Ozdemir. Structural Synthesis of Cell-based VLSI Circuits using a Multi-Objective Genetic Algorithm, IEE Electronic Letters, 32(7):651-652, March 1996.
  31. T. Arslan, E. Ozdemir, M. S. Bright, and D. H. Horrocks. Genetic Synthesis Techniques for Low-Power Digital Signal Processing Circuits, In Proceedings of The IEE Colloquium On Digital Synthesis, pages 7/1-7/5, London, UK, February 1996. IEE.
  32. A. Augugliaro, L. Dusonchet and E. Riva Sanseverino. Multiobjective service restoration in distribution networks using an evolutionary approach and fuzzy sets, Electrical Power and Energy Systems, Vol. 22, No. 2, pp. 103--110, February 2000.
  33. Antonino Augugliaro, Luigi Dusonchet and Eleonora Riva Sanseverino. Evolving non-dominated solutions in multiobjective service restoration for automated distribution networks, Electric Power Systems Research, Vol. 59, No. 3, pp. 185--195, October 2001.
  34. B. Awadh, N. Sepehri, and O. Hawaleshka. A Computer-Aided Process Planning Model Based on Genetic Algorithms. Computers in Operations Research, 22(8):651-652, 1995.
  35. Shapour Azarm, Brian J. Reynolds, and Sanjay Narayanan. Comparison of Two Multiobjective Optimization Techniques With and Within Genetic Algorithms, In CD-ROM Proceedings of the 25th ASME Design Automation Conference, volume Paper No. DETC99/DAC-8584, Las Vegas, Nevada, September 1999.
  36. Sanjay Narayanan and Shapour Azarm. A Multiobjective Interactive Sequential Hybrid Optimization Technique for Design Decision Making. Engineering Optimization, 32:485-500, 2000.
  37. B

  38. Thomas Bäck, David B. Fogel, and Zbigniew Michalewicz, editors. Handbook of Evolutionary Computation. Institute of Physics Publishing and Oxford University Press, 1997.
  39. Tapan P. Bagchi. Multiobjective Scheduling by Genetic Algorithms. Kluwer Academic Publishers, Boston, 1999.
  40. Tapan P. Bagchi. Pareto-Optimal Solutions for Multi-objective Production Scheduling Problems. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 458-471. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .
  41. Flavio Baita, Francesco Mason, Carlo Poloni, and Walter Ukovich. Genetic algorithm with redundancies for the vehicle scheduling problem. In J. Biethahn and Volker Nissen, editors, Evolutionary Algorithms in Management Applications, pages 341-353. Springer-Verlag, Berlin, 1995.
  42. A. Bajwa, T. Williams and M.A. Stuchly. Design of Broadband Radar Absorbers with Genetic Algorithm, in IEEE International Symposium of the Antennas and Propagation Society, Vol. 4, IEEE, pp. 672--675, 2001.
  43. Jerzy Balicki and Zybmunt Kitowski. Multicriteria evolutionary algorithm with tabu search for task assignment. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 373-384. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.
  44. Jerzy Balicki and Zybmunt Kitowski. Evolutionary Algorithms for Navigation of Underwater Vehicle, in M. Galicki and K. Tchon (editors), Proceedings of the Second International Workshop on Robot Motion and Control, pp. 103--108, 2001.
  45. Jerzy Balicki. Evolutionary algorithms for multicriteria optimization of program module allocations, in M. Koksalan and S. Zionts (eds), 15th International Conference on Multiple Criteria Decision Making (MCDM), Springer-Verlag, Lecture Notes in Economics and Mathematical Sciences, Volume 507, pp. 273--281, 2001 .
  46. Richard J. Balling, John T. Taber, Michael R. Brown, and Kirsten Day. Multiobjective Urban Planning Using a Genetic Algorithm. ASCE Journal of Urban Planning and Development, 125(2):86-99, June 1999.
  47. R. J. Balling, J. T. Taber, K. Day, and S. Wilson. City Planning with a Multiobjective Genetic Algorithm and a Pareto Set Scanner. In Ian C. Parmee, editor, Proceedings of the Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM'2000), pages 237-247. PEDC, University of Plymouth, UK, Springer London, 2000.
  48. Richard J. Balling. Pareto sets in decision-based design, Journal of Engineering Valuation and Cost Analysis, Vol. 3, pp. 189--198, 2001
  49. Richard Balling and Scott Wilson.The Maximim Fitness Function for Multi-objective Evolutionary Computation: Application to City Planning, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1079--1084, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .
  50. P. Di Barba, M. Farina, and A. Savini. A Meta Optimization Approach to the Pareto Optimal Design of Multiple Wingdings Solenoids, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki, and Jacques Periaux, editors, Proceedings of EUROGEN'99, Jyväskylä, Finland, 1999. University of Jyváskylä.
  51. P. Di Barba, M. Farina, and A. Savini. Multicriteria Optimization of Air-cored Solenoids with Multiple Windings, In Proceedings of the International Symposium on Non-linear Electromagnetic Systems, ISEM'99, Pavia, Italy, May 1999. IOS Press.
  52. P. Di Barba, M. Farina, and A. Savini. Vector Shape Optimization of an Electrostatic Micromotor using a Genetic Algorithm, In Proceedings of the International Symposium on Electromagnetic Fields in Electrical Engineering, ISEF'99, Pavia, Italy, September 1999.
  53. Helio J. C. Barbosa. A coevolutionary genetic algorithm for a game approach to structural optimization. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 545-552, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.
  54. Helio J.C. Barbosa and André M.S. Barreto.An interactive genetic algorithm with co-evolution of weights for multiobjective problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 203--210, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .
  55. L. Barone, L. While and P. Hingston. Designing Crushers with a Multi-Objective Evolutionary Algorithm, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 995--1002, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .
  56. Matthieu Basseur, Franck Seynhaeve and El-ghazali Talbi. Design of multi-objective evolutionary algorithms: Application to the flow-shop, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1151--1156, IEEE Service Center, Piscataway, New Jersey, May 2002
  57. L. Bastidas, H. V. Gupta, S. Sorooshian, W. J. Shuttleworth, and Z. L. Yang. Parameter Estimation of a Land Surface Scheme using Multi-Criteria Methods. Journal of Geophysical Research--Atmospheres, 104(D16):19491, 1999.
  58. R. A. Bates, R. Fontana, L. Pronzato and H. P. Wynn. Multi-Domain Optimisation Using Computer Experiments for Concurrent Engineering, In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 355--364, Plymouth, United Kingdom, Plymouth Engineering Design Centre, Springer-Verlag, April 1998.
  59. R.A. Bates and H.P. Wynn. The Optimisation of Multivariate Robust Design Criteria, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 285--294, Springer-Verlag, University of Exeter, Devon, UK, April 2002 .
  60. A. Baykasoglu, Goal Programming using Multiple Objective Tabu Search, Journal of the Operational Research Society, Vol. 52, No. 12, pp. 1359--1369, December 2001.
  61. Ricardo P. Beausoleil Delgado. Multiple Criteria Scatter Search, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference (MIC'2001), pp. 539--543, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001
  62. A. D. Belegundu, D. V. Murthy, R. R. Salagame, and E. W. Constants. Multiobjective Optimization of Laminated Ceramic Composites Using Genetic Algorithms. In Fifth AIAA/USAF/NASA Symposium on Multidisciplinary Analysis and Optimization, pages 1015-1022, Panama City, Florida, 1994. AIAA. Paper 84-4363-CP.
  63. A. D. Belegundu and P. L. N. Murthy. A New Genetic Algorithm for Multiobjective Optimization. Technical Report No. AIAA-96-4180-CP, AIAA, Washington, D.C., 1996.
  64. Ernesto Benini and Andrea Toffolo. Development of High-Performance Airfoils for Axial Flow Compressors Using Evolutionary Computation, Journal of Propulsion and Power, Vol. 18, No. 3, pp. 544--554, May-June 2002 .
  65. P. J. Bentley and J. P. Wakefield. An Analysis of Multiobjective optimization within Genetic Algorithms, Technical Report ENGPJB96, University of Huddersfield, UK, 1996.
  66. P. J. Bentley and J. P. Wakefield. Finding Acceptable Solutions in the Pareto-Optimal Range using Multiobjective Genetic Algorithms, In P. K. Chawdhry, R. Roy, and R. K. Pant, editors, Soft Computing in Engineering Design and Manufacturing, Part 5, pages 231-240, London, June 1997. Springer Verlag London Limited. (Presented at the 2nd On-line World Conference on Soft Computing in Design and Manufacturing (WSC2)).
  67. P. J. Bentley and J. P. Wakefield. Overview of Generic Evolutionary Design Systems, In Proceedings of the 2nd On-Line World Conference on Evolutionary Computation (WEC2), pages 53-56, 1996.
  68. P. J. Bentley, editor. P. J. Bentley, editor. Evolutionary Design by Computers, Academic Press Ltd., London, 1999.
  69. Ester Bernadó i Mansilla and Josep M. Garrell i Guiu. MOLeCS: Using Multiobjective Evolutionary Algorithms for Learning. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 696-710. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .
  70. José Luis Bernal Agustín. Aplicación de Algoritmos Genéticos al Diseño Óptimo de Sistemas de Distribución de Energía Eléctrica, PhD thesis, Department of Electrical Engineering, University of Zaragoza, Spain, January 1998. (In Spanish).
  71. Alain Berro and Yves Duthen. Search for optimum in dynamic environment: a efficient agent-based method, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 51--54, July 2001
  72. Zafer Bingul, Ali Sekmen, and Saleh Zein-Sabatto. Adaptive Genetic Algorithms Applied to Dynamic Multi-Objective Problems. In Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy, and Stephen Kercel, editors, Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'2000), pages 273-278, New York, 2000. ASME Press
  73. Zafer Bingul, Ali Sekmen, and Saleh Zein-Sabatto. Genetic Algorithms Applied to Real Time Multi-Objective Optimization Problems. In Proceedings of the 2000 IEEE SouteastCon Conference (SoutheastCON'2000), pp.95--103, Nashville, Tennessee, April 2000. IEEE
  74. To Thanh Binh. Eine Entwurfsstrategie für Mehrgrößensysteme zur Polgebietsvorgabe. PhD thesis, Institute of Automation, University of Magdeburg, Germany, 1994.
  75. To Thanh Binh and Urlich Korn. An evolution strategy for the multiobjective optimization, In The Second International Conference on Genetic Algorithms (Mendel 96), pages 23-28, Brno, Czech Republic, 1996.
  76. To Thanh Binh, Urlich Korn, and J. Kliche. Evolution Strategy Toolbox for use with MATLAB, Technical report, Institute of Automation, University of Magdeburg, Germany, March 1996.
  77. To Thanh Binh and Urlich Korn. Multicriteria control system design using an intelligent evolution strategy with dynamical constraints boundaries, In Proceedings of the Conference for Control of Industrial Systems (CIS'97), volume 2, pages 242-247, Belfort, France, 1997.
  78. To Thanh Binh and Urlich Korn. Ein multikriterielles Design-Tool für Mehrgrößensysteme mittels Evolutionsstrategien. Fachtagung 1997: Moderne Methoden des Regelungs- und ungsentwurfes, pages 35-42, 1997.
  79. To Thanh Binh and Urlich Korn. 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, 1997.
  80. To Thanh Binh and Urlich Korn. MOBES: A multiobjective evolution strategy for constrained optimization problems, In The Third International Conference on Genetic Algorithms (Mendel 97), pages 176-182, Brno, Czech Republic, 1997.
  81. To Thanh Binh and Urlich Korn. Scalar optimization with linear and nonlinear constraints using evolution strategies, In Bernd Reusch, editor, Lecture Notes in Computer Science, pages 381-392. Springer-Verlag, April 1997.
  82. Urlich Korn and To Thanh Binh. The parallel evolution strategy toolbox. Automatisierungstechnik, 4:207-208, 1998.
  83. To Thanh Binh and Urlich Korn. A parallel multiobjective evolutionary algorithm. Submission paper for Evolutionary Computing 1999, 1999.
  84. To Thanh Binh. A multiobjective evolutionary algorithm: The study cases, Technical report, Institute for Automation and Communication, Barleben, Germany, January 1999.
  85. To Thanh Binh. A Multiobjective Evolutionary Algorithm: The Study Cases, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 127-128, Orlando, Florida, July 1999.
  86. Stefan Bleuler, Martin Braek, Lothar Thiele and Eckart Zitzler. Multiobjective Genetic Programming: Reduing Bloat Using SPEA2, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 536--543, May 2001
  87. Tobias Blickle, Jürgen Teich, and Lothar Thiele. System-level synthesis using evolutionary algorithms, Technical Report TIK Report-Nr. 16, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH), Gloriastrasse 35, 8092 Zurich, April 1996.
  88. Tobias Blickle, Jürgen Teich, and Lothar Thiele. An evolutionary approach to system-level synthesis, In Proc. 5th International Workshop on Hardware/Software Codesign, pages 167-172. IEEE Computer Society Press, 1997.
  89. Anna L. Blumel, Evan J. Hughes, and Brian A. White. Fuzzy Autopilot Design using a Multiobjective Evolutionary Algorithm, In 2000 Congress on Evolutionary Computation, volume 1, pages 54-61, Piscataway, New Jersey, July 2000. IEEE Service Center.
  90. Anna L. Blumel, Evan J. Hughes, and Brian A. White. Multi-objective Evolutionary Design of Fuzzy Autopilot Controller. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 668-680. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001
  91. Anna L. Blumel and Brian A. White. Multiobjective Optimization of Fuzzy Logic Scheduled Controllers for Missile Autopilot Design, in Joint 9th IFSA World Congress and 20th NAFIPS International Conference, IEEE, Vol. 3, pp. 1758--1763, 2001.
  92. Pedro Castro Borges and Michael Pilegaard Hansen. A basis for future successes in multiobjective combinatorial optimization. Technical Report IMM-REP-1998-8, Institute of Mathematical Modelling, Technical University of Denmark, March 1998.
  93. Carlos C.H. Borges and Helio J.C. Barbosa. A Non-generational Genetic Algorithm for Multiobjective Optimization, In 2000 Congress on Evolutionary Computation, volume 1, pages 172-179, San Diego, California, July 2000. IEEE Service Center.
  94. Pedro Castro Borges. CHESS-Changing Horizon Efficient Set Search: A Simple Principle for Multiobjective Optimization. Journal of Heuristics, 6(3):405-418, August 2000.
  95. C. A. Borghi, D. Casadei, M. Fabbri, and G. Serra. Reduction of the torque ripple in permanent magnet actuators by a multiobjective minimization technique. IEEE Transactions on Magnetics, 34(5):2869-2872, September 1998.
  96. F. Boschetti, M. Dentith, and R. List. Genetic Algorithms Incorporating a Pseudo Subspace Method, In Proceedings of the Second International Conference on Evolutionary Computation, pages 557-560, november 1995.
  97. Martijn C.J. Bot. Improving Induction of Linear Classification Trees with Genetic Programming, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 403-410, San Francisco, California, 2000. Morgan Kaufmann.
  98. Jürgen Branke, Thomas Kaußler, and Hartmut Schmeck. Guiding Multi Objective Evolutionary Algorithms Towards Interesting Regions, Technical Report 398, Institute für Angewandte Informatik und Formale Beschreibungsverfahren, Universität Karlsruhe, Karlsruhe, Germany, February 2000.
  99. Jürgen Branke, Thomas Kaußler, and Hartmut Schmeck. Guiding Multi-Objective Evolutionary Algorithms Towards Interesting Regions, In Ian C. Parmee, editor, Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM 2000), Poster Proceedings, pages 1-4. Plymouth Engineering Design Centre, University of Plymouth, April 2000.
  100. Jürgen Branke, Thomas Kaußler, and Hartmut Schmeck. Guidance in Evolutionary Multi-Objective Optimization, Advances in Engineering Software, Vol. 32, pp. 499--507, 2001 <
  101. Marc Stephen Bright. Evolutionary Strategies for the High-Level Synthesis of VLSI-Based DSP Systems for Low Power, PhD thesis, University Of Wales Cardiff, School Of Engineering, Circuits And Systems Research Group, Cardiff, Wales, UK, October 1998.
  102. M. S. Bright and T. Arslan. Multi-Objective Design Strategy for High-Level Low-Power Design of DSP Systems, In IEEE International Symposium on Circuits and Systems, ISCAS 99, volume 1, pages 80-83, Florida, USA, May-June 1999.
  103. M. S. Bright and T. Arslan. Effective Design Exploration through Multi-Objective High-Level DSP Synthesis. In IEEE International ASIC/SOC Conference, pages 115-118, Florida, USA, September 1999.
  104. M. S. Bright and T. Arslan. Optimal Supply Voltage Selection through a Multiobjective Design Strategy. In IEEE 33rd Asilomar Conference on Signals, Systems, and Computers, pages 374-377, Pacific Grove, California, October 1999.
  105. M.-O. Bristeau, R. Glowinski, B. Mantel, J. Periaux, and M. Sefrioui. Genetic algorithms for RCS minimization of aerodynamic shapes by active reflectors. In Y. Rahmat-Samii and E. Michielssen, editors, System Design Using Evolutionary Optimization: Genetic Algorithms. John Wiley, 1998.
  106. Marie-Odile Bristeau, Roland Glowinski, Bertrand Mantel, Jacques Périaux and Mourad Sefrioui. Genetic Algorithms for Electromagnetic Backscattering: {M}ultiobjective Optimization, in Yahya Rahmat-Samii and Eric Michielssen (editors), Electromagnetic Optimization by Genetic Algorithms, Chapter 13, pp. 399--434, John Wiley and Sons, Inc., New York, 1999
  107. C. Brizuela, N. Sannomiya, and Y. Zhao. Multi-Objective Flow-Shop: Preliminary Results. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 443-457. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.
  108. Rob A. C.M. Broekmeulen. Facility Management of Distribution Centers for Vegetables and Fruits. In J. Biethahn and Volker Nissen (editors), Evolutionary Algorithms in Management Applications, Springer-Verlag, Berlin, pp. 199-210, 1995.
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