Abstract
The concept of an evolutionary algorithm for improving the design optimization process is presented. A first application, the design optimization of a micropump, is used for both, the description of the concept being especially tailored for multicriteria applications and the presentation of very promising results.
The behavior of the micropump is formulated as an analog model including the various domains as there are electrical, thermal, and pneumatic phenomena. The parameters of this model are modified with the proposed evolutionary algorithm until a satisfactory behavior of the system is reached. The quality of the optimization depends highly on the quality of the simulation model at hand, therefore we give in addition an outlook of an evolutionary algorithm for improving the analog simulation model by using FEM results.
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References
Blume, C.: GLEAM — A System for “Intuitive Learning”. Proc. 1st Int. Workshop on Parallel Problem Solving from Nature, LNCS 496, Springer Verlag (1990)
Holland, J.: Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor. (1975)
Schwefel, H.-P.: Numerical Optimization of Computer Models. Wiley, Chichester (1981)
Jakob, W., Gorges-Schleuter, M., Blume, C.: Application of Genetic Algorithms to Task Planning and Learning. Proc. 2nd Int. Conf. PPSN, North-Holland (1992), 291–300
Gorges-Schleuter, M.: Explicit Parallelism of GAs through Population Structures. Proc. 1st Parallel Problem Solving from Nature, LNCS 496, Springer Verlag (1990), 150–159
Gorges-Schleuter, M.: Parallel Evolutionary Algorithms and the Concept of Population Structures. In: Plantamura, V., Soucek, B., Visaggio, G. (Eds.): Frontier Decision Support Concepts. Wiley, New York (1994), 261–319
B. Büstgens, W. Bacher, W. Bier, R. Ehnes, L. Keydel, D. Maas, R. Ruprecht, W. Schomburg: Micromembrane Pump Manufactured by Molding. Proc. 4th Int. Conf. On New Actuators, Actuator '94, Bremen, 86, (1994)
Blume, C., Krisch, S., Jakob, W.: Robot Trajectory Planning with Collision Avoidance Using Genetic Algorithms. Proc. 25th Int. Symp. on Industrial Robots, Hannover, FRG (1994)
Jakob, W., Blume, C.: Verbesserte Planung und Optimierung mit Hilfe eines erweiterten Genetischen Algorithmus (in german). Proc. TAT 93. Springer Verlag, Heidelberg (1994)
Fischer-Binder, J.-O.: Analog Extensions to VHDL. Firma Bosch (1993). ftp: nestor.epfl.ch
Zienkiewicz, O.C.: The Finite Element Method. McGraw-Hill Company, London (1977)
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© 1996 Springer-Verlag Berlin Heidelberg
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Gorges-Schleuter, M., Jakob, W., Meinzer, S., Quinte, A., Süß, W., Eggert, H. (1996). An evolutionary algorithm for design optimization of microsystems. In: Voigt, HM., Ebeling, W., Rechenberg, I., Schwefel, HP. (eds) Parallel Problem Solving from Nature — PPSN IV. PPSN 1996. Lecture Notes in Computer Science, vol 1141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61723-X_1065
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DOI: https://doi.org/10.1007/3-540-61723-X_1065
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