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authors Jagielski, Romuald and Gero, John S.
year 1997
title A Genetic Programming Approach to the Space Layout Planning Problem
source CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 875-884
summary The space layout planning problem belongs to the class of NP-hard problems with a wide range of practical applications. Many algorithms have been developed in the past, however recently evolutionary techniques have emerged as an alternative approach to their solution. In this paper, a genetic programming approach, one variation of evolutionary computation, is discussed. A representation of the space layout planning problem suitable for genetic programming is presented along with some implementation details and results.
series CAAD Futures
email john@arch.usyd.edu.au
full text file.pdf (49,491 bytes)
references Content-type: text/plain
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100%; open Goldberg, D.E. (1989) Find in CUMINCAD Genetic Algorithms in Search, Optimization, and Machine Learning , Addison-Wesley, Reading
100%; open Jo, J.H. and Gero, J.S. (1997) Find in CUMINCAD Space layout planning using an evolutionary approach , Artificial Intelligence in Engineering (to appear)
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100%; open Tate, D.M. (1995) Find in CUMINCAD A genetic approach to the quadratic assignment problem , Computers Opns Res. 22: 1, 73-83

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