Multiple-constraint genetic algorithm in housing design

Taro Narahara, Kostas Terzidis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

As architectural projects are becoming increasingly more complex in their formal manifestation as well as in their functional requirements, methods are sought to address these complexities. Genetic algorithms offer an effective solution to the problem allowing multiple constraints to compete as the system evolves towards an optimum configuration that fulfills those constraints. A case study is presented that involves a housing project with multiple environmental, functional, and economic constraints.

Original languageEnglish (US)
Title of host publicationSynthetic Landscapes - ACADIA 2006 International Conference
Pages418-425
Number of pages8
StatePublished - Dec 1 2006
Externally publishedYes
EventSynthetic Landscapes - ACADIA 2006 International Conference - Louisville, KY, United States
Duration: Oct 12 2006Oct 15 2006

Publication series

NameSynthetic Landscapes - ACADIA 2006 International Conference

Other

OtherSynthetic Landscapes - ACADIA 2006 International Conference
Country/TerritoryUnited States
CityLouisville, KY
Period10/12/0610/15/06

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Hardware and Architecture
  • Software

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