BOP—An approach to building optimization

  • Authors:
  • G. Neil Harper

  • Affiliations:
  • -

  • Venue:
  • ACM '68 Proceedings of the 1968 23rd ACM national conference
  • Year:
  • 1968

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Abstract

The problem of finding an appropriate building configuration to satisfy a client's building program is by no means rudimentary. When one imposes additional requirements that the building shall be an “efficient”, “economical”, or “optimum cost” building, the mathematical difficulties encountered in operating on a large data base to achieve some kind of optimum result are almost insurmountable. In the past, these formidable problems of searching out the best-or even an acceptable-solution have been solved largely on the basis of intuition and random investigation of a small number of possible solutions. The numerous successful buildings in our cities today are a testimony to man's remarkable and innate ability to intuit, evaluate, and synthesize. It is conceivable, however, that these as yet unexplained human abilities can be extended and magnified if proper use could be made of appropriate computer techniques dealing with information processing.