Passive solar building design using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Mohammad M. O. Gholami and Brian J. Ross",
  title =        "Passive solar building design using genetic
  booktitle =    "GECCO '14: Proceedings of the 2014 conference on
                 Genetic and evolutionary computation",
  year =         "2014",
  editor =       "Christian Igel and Dirk V. Arnold and 
                 Christian Gagne and Elena Popovici and Anne Auger and 
                 Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and 
                 Kalyanmoy Deb and Benjamin Doerr and James Foster and 
                 Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and 
                 Hitoshi Iba and Christian Jacob and Thomas Jansen and 
                 Yaochu Jin and Marouane Kessentini and 
                 Joshua D. Knowles and William B. Langdon and Pedro Larranaga and 
                 Sean Luke and Gabriel Luque and John A. W. McCall and 
                 Marco A. {Montes de Oca} and Alison Motsinger-Reif and 
                 Yew Soon Ong and Michael Palmer and 
                 Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and 
                 Guenther Ruhe and Tom Schaul and Thomas Schmickl and 
                 Bernhard Sendhoff and Kenneth O. Stanley and 
                 Thomas Stuetzle and Dirk Thierens and Julian Togelius and 
                 Carsten Witt and Christine Zarges",
  isbn13 =       "978-1-4503-2662-9",
  pages =        "1111--1118",
  keywords =     "genetic algorithms, genetic programming",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "",
  DOI =          "doi:10.1145/2576768.2598211",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Passive solar building design considers the effect
                 that sunlight has on energy usage. The goal is to
                 reduce the need for artificial cooling and heating
                 devices, thereby saving energy costs. A number of
                 competing design objectives can arise. Window heat gain
                 during winter requires large windows. These same
                 windows, however, reduce energy efficiency during
                 nights and summers. Other model requirements add
                 further complications, which creates a challenging
                 optimisation problem. We use genetic programming for
                 passive solar building design. The EnergyPlus system is
                 used to evaluate energy consumption. It considers
                 factors ranging from model construction (shape,
                 windows, materials) to location particulars
                 (latitude/longitude, weather, time of day/year). We use
                 a strongly typed design language to build 3D models,
                 and multi-objective fitness to evaluate the multiple
                 design objectives. Experimental results showed that
                 balancing window heat gain and total energy use is
                 challenging, although our multi-objective strategy
                 could find interesting compromises. Many factors (roof
                 shape, material selection) were consistently optimised
                 by evolution. We also found that geographic aspects of
                 the location play a critical role in the final building
  notes =        "See also Brock University technical report CS-14-02
                 Jan 2014.

                 Also known as \cite{2598211} GECCO-2014 A joint meeting
                 of the twenty third international conference on genetic
                 algorithms (ICGA-2014) and the nineteenth annual
                 genetic programming conference (GP-2014)",

Genetic Programming entries for Mohammad M O Gholami Brian J Ross