Evolutionary Algorithms 11 Reference

The reference list contains all the references used during the creation of this report. To provide a better overview and orientation the entries are sorted according to the main topics covered in this documentation.

Section 11.1 contains papers and books about Evolutionary Algorithms in general. Section 11.2 collects publications about population models and parallel implementations of Evolutionary Algorithms. Section 11.3 presents papers on combinatorial optimization using Evolutionary Algorithms. Section 11.4 contains papers and books on visualization. Section 11.5 contains papers and books on the special topic polyploidy and Section 11.6 on biology and genetics.

This division of the reference entries provides a better overview and gives the chance to scan through the references connected with a particular topic.

[Ack87] Ackley, D. H.: A connectionist machine for genetic hillclimbing. Boston: Kluwer Academic Publishers, 1987.

[Ack93] Ackermann, J.: Robuste Regelung. Berlin, Heidelberg, New York: Springer-Verlag, 1993.

[AISB96] Fogarty, T. C.: Evolutionary Computing. Proceedings of AISB Workshop on Evolutionary Computing 1996, Vol. 1143 of Lecture Notes in Computer Science, Berlin, Heidelberg, New York: Springer-Verlag, 1996.

[AGP94] Kinnear, K. E.: Advances in Genetic Programming. Cambridge: MIT Press, 1994.

[AGP96] Angeline, P. J. and Kinnear, K. E.: Advances in Genetic Programming II. Cambridge: MIT Press, 1996.

[AGP99] Spector, L., Langdon, W., O'Reilly, U.-M. and Angeline, P. J. (eds.): Advances in Genetic Programming III. Cambridge: MIT Press, 1999.

[Bäc96] Bäck, T.: Evolutionary Algorithms in Theory and Practice - Evolution Strategies, Evolutionary Programming, Genetic Algorithms. New York, Oxford: Oxford University Press, 1996.
http://www.oup-usa.org/docs/0195099710.html

[BH91] Bäck, T. and Hoffmeister, F.: Extended Selection Mechanisms in Genetic Algorithms. In [ICGA4], pp. 92-99, 1991.

[BS96] Bäck, T. and Schütz, M.: Intelligent Mutation Rate Control in Canonical Genetic Algorithms. In Ras, Z. W. and Michalewicz, M.: Foundation of Intelligent Systems. 9th International Symposium, ISMIS '96, pp. 158-167, Berlin: Springer-Verlag, 1996.
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[Bak85] Baker, J. E.: Adaptive Selection Methods for Genetic Algorithms. In [ICGA1], pp. 101-111, 1985.

[Bak87] Baker, J. E.: Reducing Bias and Inefficiency in the Selection Algorithm. In [ICGA2], pp. 14-21, 1987.

[Bal94] Baluja, S.: Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning. Technical Report CMU-CS-94-163, Pittsburgh, Pennsylvania: School of Computer Science, Carnegie Mellon University, 1994.
ftp://reports.adm.cs.cmu.edu/1994/CMU-CS-94-163.ps

[Bey95] Beyer, H.-G.: Toward a Theory of Evolution Strategies: On the Benefits of Sex - the (_/_,_) Theory. Evolutionary Computation, 3(1), pp. 81-111, 1995.

[BT95] Blickle, T. and Thiele, L.: A Comparison of Selection Schemes used in Genetic Algorithms (2. Edition). TIK Report No. 11, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH) Zürich, Switzerland, 1995.
http://www.tik.ee.ethz.ch/Publications/TIK-Reports/TIK-Report11abstract.html

[BEL95] Böcker, J, Endrikat, C. and Liu, S.: A Systematic Approach to State Feedback Controller Design for DC/DC Line-Side Traction Converters. Proc. EPE'95, Sevilla, Vol. 1, pp. 314-318, 1995.

[BW96] Böcker, J. and Wu, Z.: Symmetry Properties of Multi-Variable Control Systems. Technical Note, 25/96, Daimler Benz AG, 1996.

[Boo87] Booker, L.: Improving search in genetic algorithms. In [Dav87], pp. 61-73, 1987.

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[CEC99] Angeline, P. J. (ed.): Proceedings of the Congress on Evolutionary Computation. Piscataway, New Jersey, USA: IEEE Press, 1999.

[Cha95] Chambers, L. (ed.): Genetic Algorithm Applications Vol. I. New York: CRC Press, 1995.

[CS88] Caruana, R. A. and Schaffer, J. D.: Representation and Hidden Bias: Gray v. Binary Coding for Genetic Algorithms. In Fifth International Conference on Machine Learning, San Mateo, California, USA: Morgan Kaufmann Publishers, pp. 153-161, 1988.

[CES89] Caruana, R. A., Eshelmann, L. A. and Schaffer, J. D.: Representation and hidden bias II: Eliminating defining length bias in genetic search via shuffle crossover. In Sridharan, N. S. (ed.): Eleventh International Joint Conference on Artificial Intelligence, San Mateo, California, USA: Morgan Kaufmann Publishers, Vol. 1, pp. 750-755, 1989.

[Cav70] Cavicchio, D. J.: Adaptive search using simulated evolution. Unpublished doctoral dissertation, University of Michigan, Ann Arbor, 1970.

[CFP94b] Chipperfield, A. J., Fleming, P. J. and Pohlheim, H.: A Genetic Algorithm Toolbox for MATLAB. Proc. Int. Conf. Sys. Engineering, Coventry, UK, 6-8 Sept., pp. 200-207, 1994.

[CFPF94a] Chipperfield, A., Fleming, P. J., Pohlheim, H. and Fonseca, C. M.: Genetic Algorithm Toolbox for use with Matlab. Technical Report No. 512, Department of Automatic Control and Systems Engineering, University of Sheffield, 1994.

[CMR91] Cohoon, J. P., Martin, W. N. and Richards, D.S.: Genetic Algorithms and Punctuated Equilibria in VLSI. In [PPSN1], pp. 134-144, 1991.

[Dav91a] Davidor, Y.: A Naturally Occurring Niche & Species Phenomenon: The Model and First Results. In [ICGA4], pp. 257-263, 1991.

[Dav91b] Davidor, Y.: Epistasis Variance: A Viewpoint on GA-Hardness. In [FGA1], pp. 23-35, 1991.

[Dav87] Davis, L. D.: Genetic Algorithms and Simulated Annealing. San Mateo, California, USA: Morgan Kaufmann Publishers, 1987.

[Dav91] Davis, L. D.: Handbook of Genetic Algorithms. Van Nostrand Reinhold, 1991.

[DJS93] De Jong, K. and Spears, W.: On the state of evolutionary computation. In [ICGA5], pp. 618-623, 1993.

[DeJ75] De Jong, K.: An analysis of the behavior of a class of genetic adaptive systems. Doctoral dissertation, University of Michigan, Dissertation Abstracts International, 36(10), 5140B, University Microfilms No. 76-9381, 1975.

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[Eas90] Easom, E. E.: A survey of global optimization techniques. M. Eng. thesis, Univ. Louisville, Louisville, KY, 1990.

[ECJ] Whitley, D. (ed.): Evolutionary Computation. Journal, Cambridge, Massachusetts: MIT Press, 1993-1999.

[ECT] Fogel, D. B. (ed.): IEEE Transactions on Evolutionary Computation. Journal, Piscataway, New Jersey, USA: IEEE Press.

[EP96] Fogel, D. B. (ed.): Evolutionary Programming V, Proceedings of the Fifth Annual Conference on Evolutionary Programming. Cambridge, MA: MIT Press, 1996.

[EP97] Angeline, P. J., Reynolds, R. G., McDonnell, J. R. and Eberhart, R. (eds.): Evolutionary Programming VI, Proceedings of the Sixth Annual Conference on Evolutionary Programming. Vol. 1213 of Lecture Notes in Computer Science, Berlin, Heidelberg, New York: Springer-Verlag, 1997.

[EP98] Porto, V. W., Saravanan, N., Waagen, D. and Eiben, A. E. (eds): Evolutionary Programming VII, Proceedings of the Seventh Annual Conference on Evolutionary Programming. Vol. 1447 of Lecture Notes in Computer Science, Berlin, Heidelberg, New York: Springer-Verlag, 1998.

[Esh91] Eshelmann, L. J.: The CHC Adaptive Algorithm: How to have safe search when engaging in Nontraditional Genetic Recombination. In [FGA1], pp. 265-283, 1991.

[Fdb92] Fogel, D. B.: Evolving Artificial Intelligence. Dissertation, University of California, San Diego, 1992.

[Fdb94a] Fogel, D. B.: An Introduction to Simulated Evolutionary Optimization. IEEE Trans. on Neural Networks: Special Issue on Evolutionary Computation, Vol. 5, No. 1, pp. 3-14, 1994.

[Fdb94b] Fogel, D. B.: Applying Evolutionary Programming to Selected Control Problems. Comp. Math. App., 11(27), pp. 89-104, 1994.

[Fdb95] Fogel, D. B.: Evolutionary computation: toward a new philosophy of machine intelligence. New York: IEEE Press, 1995.
http://www.natural-selection.com/misc/evolCompBook.html

[FOW66] Fogel, L. J., Owens, A. J. and Walsh, M. J.: Artificial Intelligence through Simulated Evolution. New York: John Wiley, 1966.

[For81] Forsyth, R.: BEAGLE - A Darwinian Approach to Pattern Recognition. Kybernetes, 10, pp. 159-166, 1981.

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[Fri58] Friedberg, R. M.: A learning machine: Part I. IBM Journal, 2(1), pp. 2-13, 1958.

[FDN59] Friedberg, R. M., Dunham, B. and North, J. H.: A learning machine: Part II. IBM Journal, 3(7), pp. 282-287, 1959.

[FGA1] Rawlins, G. J. E.: Foundations of Genetic Algorithms. San Mateo, California, USA: Morgan Kaufmann Publishers, 1991.

[FGA2] Whitley, L. D.: Foundations of Genetic Algorithms 2. San Mateo, California, USA: Morgan Kaufmann Publishers, 1993.

[FGA3] Whitley, L. D. and Vose, M. D.: Foundations of Genetic Algorithms 3. San Francisco, California, USA: Morgan Kaufmann Publishers, 1995.

[FGA4] Belew, R. K. and Vose, M. D.: Foundations of Genetic Algorithms 4. San Francisco, California, USA: Morgan Kaufmann Publishers, 1997.

[FGA5] Banzhaf, W. and Reeves, C.: Foundations of Genetic Algorithms 5. San Francisco, California, USA: Morgan Kaufmann Publishers, 1999.

[GAOT] Houck, C., Joines, J. and Kay, M.: The Genetic Algorithm Optimization Toolbox (GAOT). North Carolina State University, Department of Industrial Engineering, NCSU-IE TR 95-09, 1995.
http://www.ie.ncsu.edu/gaot/

[GEC99] Banzhaf, W. (ed.): GECCO'99 - Proceedings of the Genetic and Evolutionary Computation Conference, San Francisco, CA: Morgan Kaufmann, 1999.

[GP96] Koza, J. R., Goldberg, D. E., Fogel, D. B. and Riolo, R. L.: Genetic Programming 1996: Proceedings of the First Annual Conference. Cambridge: MIT Press, 1996.

[GP97] Koza, J. R. et al. (eds.): Genetic Programming 1997: Proceedings of the Second Annual Conference. San Francisco, CA: Morgan Kaufmann, 1997.

[GP98] Koza, J. R. et al. (eds.): Genetic Programming 1998: Proceedings of the Third Annual Conference. San Francisco, CA: Morgan Kaufmann, 1998.

[Gol83] Goldberg, D. E.: Computer-aided gas pipeline operation using genetic algorithms and rule learning. Doctoral dissertation, University of Michigan, Dissertation Abstracts International, 44(10), 3174B, University Microfilms No. 8402282, 1983.

[Gol87] Goldberg, D. E.: Simple Genetic Algorithms and the Minimal Deceptive Problem. In [Dav87], pp. 74-88, 1987.

[Gol89] Goldberg, D. E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, Mass.: Addison-Wesley, 1989.

[GD91] Goldberg, D. E. and Deb, K.: A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. In [FGA1], pp. 69-93, 1991.

[GP71] Goldstein, A. A. and Price, I. F.: On descent from local minima. Math. Comput., Vol. 25, No. 115, 1971.

[Gre86] Grefenstette, J. J.: Optimization of Control Parameters for Genetic Algorithms. In IEEE Transactions on Systems, Man and Cybernetics, 16 (1986) 1, pp.122-128, 1986.

[GB89] Grefenstette, J. J. and Baker, J. E.: How Genetic Algorithms Work: A Critical Look at Implicit Parallelism. In [ICGA3], pp. 20-27, 1989.

[Gre93] Grefenstette, J. J.: Deception Considered Harmful. In [FGA2], pp. 75-91, 1983.

[HH94] Haas, R. and Hunt, K. J.: Genetic based optimisation of a fuzzy-neural vehicle controller. Technical Report, Daimler Benz AG, Research and Technology Berlin, 1994.

[Ham97] Hammel, U.: Evolutionary Computation Applications: Simulation models. In [HEC97], F1.8, pp. F1.8:1-F1.8:9, 1997.

[Han98] Hansen, N.: Verallgemeinerte individuelle Schrittweitenregelung in der Evolutionsstrategie - eine Untersuchung zur entstochastisierten, koordinatensystemunabhängigen Adaption der Mutationsverteilung. Berlin: Mensch & Buch Verlag, 1998.

[HGO95] Hansen, N., Gawelczyk, A. and Ostermeier, A.: Sizing the Population with Respect to the Local Progress in (1,_)-Evolution Strategies - A Theoretical Analysis. In [ICEC95], pp. 80-85, 1995.

[HH98] Haupt, R. L. and Haupt, S. E.: Practical Genetic Algorithms. NewYork: John Wiley & Sons, 1998.

[HB91] Hoffmeister, F. and Bäck, T.: Genetic Algorithms and Evolutionary Strategies: Similarities and Differences. In [PPSN1], pp. 455-469, 1991.

[HEC97] Bäck, T., Fogel, D. B. and Michalewicz, Z. (eds.): Handbook on Evolutionary Computation. Bristol: Institute of Physics Publishing and Oxford, New York: Oxford University Press, 1997.

[Hol75] Holland, J. H.: Adaptation in natural and artificial systems. Ann Arbor: The University of Michigan Press, 1975.

[Hol95] Holland, J. H.: Hidden order: how adaptation builds complexity. Reading, Massachusetts: Addison-Wesley, 1995.

[Hoo95] Hooker, J. N.: Testing Heuristics: We Have It All Wrong. Journal of Heuristics, 1 (1995), pp. 33-42, 1995.

[HG95] Horn, J. and Goldberg, D. E.: Genetic Algorithm Difficulty and the Modality of Fitness Landscapes. In [FGA3], pp. 243-269, 1995.

[ICEC94] Fogel, D. B.: Proceedings of The First IEEE Conference on Evolutionary Computation, Piscataway, New Jersey, USA: IEEE Service Center, 1994.

[ICEC95] Proceedings of the Second IEEE Conference on Evolutionary Computation 1995, Piscataway, New Jersey, USA: IEEE Press, 1995.

[ICEC96] Proceedings of the 1996 IEEE Conference on Evolutionary Computation, Piscataway, New Jersey, USA: IEEE Press, 1996.

[ICEC97] Proceedings of the 1997 IEEE Int. Conf. on Evolutionary Computation, Piscataway, New Jersey, USA: IEEE Press, 1997.

[ICEC98] Proceedings of the 1998 IEEE Int. Conf. on Evolutionary Computation, Piscataway, New Jersey, USA: IEEE Press, 1998.

[ICGA1] Grefenstette, J. J. (ed.): Proceedings of an International Conference on Genetic Algorithms and their Application, Hillsdale, New Jersey, USA: Lawrence Erlbaum Associates, 1985.

[ICGA2] Grefenstette, J. J. (ed.): Proceedings of the Second International Conference on Genetic Algorithms and their Application, Hillsdale, New Jersey, USA: Lawrence Erlbaum Associates, 1987.

[ICGA3] Schaffer, J. D. (ed.): Proceedings of the Third International Conference on Genetic Algorithms, San Mateo, California, USA: Morgan Kaufmann Publishers, 1989.

[ICGA4] Belew, R. K. and Booker, L. B. (eds.): Proceedings of the Fourth International Conference on Genetic Algorithms, San Mateo, California, USA: Morgan Kaufmann Publishers, 1991.

[ICGA5] Forrest, S. (ed.): Proceedings of the Fifth International Conference on Genetic Algorithms, San Mateo, California, USA: Morgan Kaufmann Publishers, 1993.

[ICGA6] Eshelman, L. J. (ed.): Proceedings of the Sixth International Conference on Genetic Algorithms, San Francisco, California, USA: Morgan Kaufmann Publishers, 1995.

[ICGA7] Bäck, T. (ed.): Proceedings of the Seventh International Conference on Genetic Algorithms, San Francisco, California, USA: Morgan Kaufmann Publishers, 1997.

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[Koz92] Koza, J. R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge: MIT Press, 1992.

[Koz94] Koza, J. R.: Genetic Programming II: Automatic Discovery of Reusable Programs. Cambridge: MIT Press, 1994.

[Koz99] Koza, J. R., Bennett, F. H., Andre, D. and Keane, M. A.: Genetic Programming III: Darwinian Invention and Problem Solving. San Francisco, CA: Morgan Kaufmann, 1999.

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[Lan95] Langermann: Definition of a test function for contest on Evolutionary Computation. In [ICEC95], 1995.

[Lit92] Littger, K.: Optimierung - Eine Einführung in rechnergestützte Methoden und Anwendungen. Berlin, Heidelberg: Springer-Verlag, 1992.

[MBC95] Marenbach, P., Bettenhausen, K.D. and Cuno, B.: Selbstorganisierende Generierung strukturierter Prozeßmodelle. at-Automatisierungstechnik 6 (1995), pp. 277-288, Berlin, 1995.

[MBF96] Marenbach, P., Bettenhausen, K. D. and Freyer, S.: Signal path oriented approach to generation of dynamic process models, in [GP96], pp. 327-332, 1996.

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[MHF92] Mecklenburg, K., Hrycej, T., Franke, U. and Fritz, H.: Neural control of autonomous vehicle. In IEEE Vehicular Technology Conference, Denver, 1992.

[Men2] Osmera, P.: MENDEL'96 - 2nd International Conference on Genetic Algorithms. 26.-28. June 1996, Technical University of Brno, Czech Republic, 1996.

[Mic92] Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. Berlin, Heidelberg, New York: Springer-Verlag, 1992.

[Mic94] Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs, Second, Extended Edition. Berlin, Heidelberg, New York: Springer-Verlag, 1994.

[Mit96] Mitchell, M.: An Introduction to Genetic Algorithms. Cambridge, Massachusetts: MIT Press, 1996.

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[Müh94] Mühlenbein, H.: The Breeder Genetic Algorithm - a provable optimal search algorithm and its application. Colloquium on Applications of Genetic Algorithms, IEE 94/067, London, 1994.

[Müh95b] Mühlenbein, H.: Genetische Algorithmen und Evolutionsstrategien - Auf der Suche nach verschollenen Schätzen. GMD-Spiegel 2/95, 1995.
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[MSV93a] Mühlenbein, H. and Schlierkamp-Voosen, D.: Predictive Models for the Breeder Genetic Algorithm: I. Continuous Parameter Optimization. Evolutionary Computation, 1 (1), pp. 25-49, 1993.
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[MSV95] Mühlenbein, H. and Schlierkamp-Voosen, D.: Analysis of Selection, Mutation and Recombination in Genetic Algorithms. In Banzhaf, W. and Eeckman, F. H.: Evolution as a Computational Process. Lecture Notes in Computer Science 899, pp. 142-168, Berlin: Springer-Verlag, 1995.
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[Nis97] Nissen, V.: Einführung in evolutionäre Algorithmen: Optimierung nach dem Vorbild der Evolution. Braunschweig, Wiesbaden: Vieweg, 1997.

[Ost97] Ostermeier, A.: Schrittweitenadaption in der Evolutionsstrategie mit einem entstochastisierten Ansatz. Dissertation, Technische Universität Berlin, Fachbereich 6, 1997.

[OGH94] Ostermeier, A., Gawelczyk, A. and Hansen, N.: Step-size adaptation based on non-local use of selection information. In [PPSN3], pp. 189-198, 1994.

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[Poh93] Pohlheim, H.: Simulation und Optimierung eines Blaualgen-Wachstums-Modells. Diplomarbeit, Technische Universität Ilmenau, 1993.

[GEATbx] Pohlheim, H.: GEATbx: Genetic and Evolutionary Algorithm Toolbox for use with Matlab. www.geatbx.com, 1994-2006.
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[Poh95] Pohlheim, H.: Ein genetischer Algorithmus mit Mehrfachpopulationen zur Numerischen Optimierung. at-Automatisierungstechnik 3 (1995), pp. 127-135, 1995.

[Poh97] Pohlheim, H.: Advanced Techniques for the Visualization of Evolutionary Algorithms. Proceedings of 42. International Scientific Colloquium Ilmenau, Vol. 3, pp. 60-68, 1997.
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[Poh98] Pohlheim, H.: Entwicklung und systemtechnische Anwendung Evolutionärer Algorithmen. Aachen, Germany: Shaker Verlag, 1998. (Development and Engineering Application of Evolutionary Algorithms)
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[Poh99a] Pohlheim, H.: Visualization of Evolutionary Algorithms - set of standard techniques and multidimensional visualization. In [GEC99], p. 533-540, 1999.
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[Poh99b] Pohlheim, H.: Evolutionäre Algorithmen - Verfahren, Operatoren, Hinweise aus der Praxis. Berlin, Heidelberg, New York: Springer-Verlag, 1999. (Evolutionary Algorithms - methods, operators and practical directions)
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[PH96a] Pohlheim, H. und Heißner, A.: Optimale Steuerung der Zustandsgrößen im Gewächshaus mit Genetischen Algorithmen: Grundlagen, Verfahren und Ergebnisse. Technischer Bericht,
Technische Universität Ilmenau, 1996.
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[PH96b] Pohlheim, H. and Heißner, A.: Anwendung genetischer Algorithmen zur optimalen Steuerung des Gewächshausklimas. In GMA-Kongreß'96, VDI-Berichte 1282, pp. 799-809, Düsseldorf: VDI-Verlag, 1996.

[PH97a] Pohlheim, H. and Heißner, A.: Optimal Control of Greenhouse Climate using a Short Time Greenhouse Climate Model and Evolutionary Algorithms. In Proceedings of 3^rd IFAC/ISHS Workshop on ,,Mathematical and Control Applications in Agriculture & Horticulture", pp. 113-118, 1997.

[PPW99] Pohlheim, H., Pawletta, S. and Westphal, A.: Parallel Evolutionary Optimization under Matlab on standard computing networks. In [GEC99], Evolutionary Computation and Parallel Processing Workshop, pp. 174-176, 1999.
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[PWS2000] Pohlheim, H., Wegener, J. and Sthamer, H.: Testing the Temporal Behavior of Real-Time Engine Control Software Modules using extended Evolutionary Algorithms. In CI'2000 Computational Intelligence im industriellen Einsatz, Baden-Baden Mai 2000, vdi-Verlag, 2000.
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[PS98] Pohlheim, H. und Schütte, A.: Optimierung der Parameter in einem Verbrennungsmodell für einen Dieselmotor mit Evolutionären Algorithmen. interner Technischer Bericht FT3/A-1998-001, Daimler Benz AG, 1998.

[PW99] Pohlheim, H. and Wegener, J.: Testing the Temporal Behavior of Real-Time Software Modules using Extended Evolutionary Algorithms. In [GEC99], p. 1795, 1999.
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[PPA93] Puta, H., Pohlheim, H. and Affa, I.: Simulation und Entscheidungshilfe für das Ökosystem Barther Bodden. In VDI-Berichte 1067, pp. 429-440, Düsseldorf: VDI-Verlag, 1993.

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[PPSN4] Voigt, H.-M., Ebeling, W., Rechenberg, I. and Schwefel, H.-P.: Parallel Problem Solving from Nature - PPSN IV: International Conference on Evolutionary Computation. Vol. 1141 of Lecture Notes in Computer Science, Berlin, Heidelberg, New York: Springer-Verlag, 1996.

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[RB93] Riedmiller, M. and Braun, H.: A direct adaptive method for faster backpropagation learning: The RPROP algorithm. In H. Ruspini (ed.): Proceedings of the IEEE International Conference on Neural Networks (ICNN), pp.586-591, 1993.

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[Sch95] Schwefel, H.-P.: Evolution and optimum seeking. New York: John Wiley & Sons, 1995.

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[SHF94] Schöneburg, E., Heinzmann, F. and Feddersen, S.: Genetische Algorithmen und Evolutionsstrategien. Bonn, Paris, Reading, Mass.: Addison-Wesley, 1994.

[SDJ91a] Spears, W.M. and De Jong, K. A.: On the Virtues of Parameterised Uniform Crossover. In [ICGA4], pp. 230-236, 1991.

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Evolutionary Algorithms 11 Reference

11 Reference

11.1 Evolutionary Algorithms

11.2 Population models and parallel EA

11.3 Combinatorial optimization

11.4 Visualization

11.5 Polyploidy and Evolutionary Algorithms

11.6 Biology, Genetics and Population genetics

11.7 Multiobjective optimization