Empirical analysis of memetic algorithms for conceptual design of steel structural systems in tall buildings

Solid Mechanics and its Applications

Volumn 140, Issue , 2006, Pages 277-288

  Kicinger, Rafal ^a   Arciszewski, Tomasz ^a  

^a George Mason University   (United States)

Author keywords

Conceptual design; Evolutionary computation; Memetic algorithms; Structural design; Tall buildings

Indexed keywords

COMPLEX DESIGN PROBLEMS; EVOLUTION STRATEGIES; MEMETIC ALGORITHMS; OPTIMAL PARAMETER SETTINGS; OPTIMIZATION ALGORITHMS; QUALITATIVE DIFFERENCES; STEEL STRUCTURAL SYSTEMS; STRUCTURAL DESIGN PROBLEMS;

CONCEPTUAL DESIGN; EVOLUTIONARY ALGORITHMS; OPTIMIZATION; POPULATION STATISTICS; STRUCTURAL DESIGN; STRUCTURES (BUILT OBJECTS); TALL BUILDINGS;

EXPERIMENTS;

EID: 51949100872     PISSN: 09250042     EISSN: None     Source Type: Book Series    
DOI: 10.1007/1-4020-4891-2_23     Document Type: Conference Paper

References (14)

1. Adeli, H., and Cheng, N. T. (1993). "Integrated genetic algorithm for optimization of space structures." Journal of Aerospace Engineering, 6(4), 315-328.
2. American Institute of Steel Construction. (1989). AISC Manual of Steel Construction, Ninth edition. AISC, Chicago, IL.
3. Coello Coello, C. A. (2002). "Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art." Computer Methods in Applied Mechanics and Engineering, 191, 1245-1287. (Pubitemid 34099386)
4. Grierson, D. E. (1989). "Computer-automated optimal design for structural steel frameworks." Proceedings of the NATO ASI Conference on Optimization and Decision Support Systems in Civil Engineering, B. H. V. Topping, ed., Edinburgh, UK, 327-354.
5. Hart, W. E., Krasnogor, N., and Smith, J. E. (2005a). "Memetic evolutionary algorithms." Recent advances in memetic algorithms, W. E. Hart, N. Krasnogor, and J. E. Smith, eds., Springer-Verlag, Berlin Heidelberg, 3-27.
6. Hart, W. E., Krasnogor, N., and Smith, J. E. (2005b). Recent advances in memetic algorithms. Springer-Verlag, Berlin Heidelberg.
7. Hoeffler, A., Leysner, U., and Weidermann, J. (1973). "Optimization of the layout of trusses combining strategies based on Mitchel's theorem and on biological principles of evolution." Proceedings of the 2nd Symposium on Structural Optimization, Milan, Italy.
8. Holland, J. H. (1975). Adaptation in natural and artificial systems, University of Michigan Press, Ann Arbor, Michigan.
9. Johnson, N. J. (1978). "Modified t tests and confidence intervals for asymmetrical populations." Journal of the American Statistical Association, 73(363), 536-544.
10. Kicinger, R. (2004). "Emergent Engineering Design: Design creativity and optimality inspired by nature," Ph.D. Dissertation, School of Information Technology and Engineering, George Mason University, Fairfax, VA, USA.
11. Moscato, P. (1989). "On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms." Caltech Concurrent Computation Program Report 826, California Institute of Technology, Pasadena, CA, USA.
12. Quagliarella, D., and Vicini, A. (1998). "Coupling genetic algorithms and gradient based optimization techniques." Genetic algorithms and evolution strategies in engineering and computer science: recent advances and industrial applications, D. Quagliarella, J. Periaux, C. Poloni, and G. Winter, eds., John Wiley & Sons, Chichester, England.
13. Rechenberg, I. (1973). Evolutionsstrategie; Optimierung technischer Systeme nach Prinzipien der biologischen Evolution, Frommann-Holzboog, Stuttgart-Bad Cannstatt.
14. Sakamoto, J., and Oda, J. (1993). "Technique for optimal layout design for truss structures using genetic algorithms." Proceedings of the 34th AIAA/ASCE/ASME/AHS Structural Dynamics and Material Conference AIAA/ASME Adaptive Structures Forum, New York, NY, 2402-2408.