Interior Illumination Design Using Genetic Programming - Versionsgeschichte

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== Referenz ==
[[Kelly Moylan]], [[Brian J. Ross]]: [[Interior Illumination Design Using Genetic Programming]]. In: [[EvoMUSART 2015]], 148-160.

== DOI ==
http://link.springer.com/chapter/10.1007/978-3-319-16498-4_14

== Abstract ==
Interior illumination is a complex problem involving numerous interacting factors. This research applies genetic programming towards problems in illumination design. The Radiance system is used for performing accurate illumination simulations. Radiance accounts for a number of important environmental factors, which we exploit during fitness evaluation. Illumination requirements include local illumination intensity from natural and artificial sources, colour, and uniformity. Evolved solutions incorporate design elements such as artificial lights, room materials, windows, and glass properties. A number of case studies are examined, including a many-objective problem involving 6 illumination requirements, the design of a decorative wall of lights, and the creation of a stained-glass window for a large public space. Our results show the technical and creative possibilities of applying genetic programming to illumination design.

== Extended Abstract ==

== Bibtex ==

== Used References ==
Koza, J (1992) Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge

Larson, GW, Shakespeare, R, Ehrlich, C, Mardaljevic, J, Phillips, E, Apian-Bennewitz, P (1998) Rendering with Radiance: The Art and Science of Lighting Visualization. Morgan Kaufmann, San Francisco

Fuller, D., McNeil, A.: Radiance, http://www.radiance-online.org/

Sims, K (1993) Interactive evolution of equations for procedural models. Vis. Comput. 9: pp. 466-476 http://dx.doi.org/10.1007/BF01888721

Graf, J., Banzhaf, W.: Interactive Evolution of Images. In: Proceedings of International Conference on Evolutionary Programming, pp. 53–65 (1995)

Russell, S (2008) The Architecture of Light: Architectural Lighting Design Concepts and Techniques. Conceptnine, San Diego

Tena, J.E., Rudomin, I., Eugenio, A., Sada, G., Gordo, C.: An interactive system for solving inverse illumination problems using genetic algorithms. In: Proceedings of Computación Visual (1997)

Fernández, E, Besuievsky, G (2012) Inverse lighting design for interior buildings integrating natural and artificial sources. Comput. Graph. 36: pp. 1096-1108 http://dx.doi.org/10.1016/j.cag.2012.09.003

Castro, F, Acebo, E, Sbert, M (2012) Energy-saving light positioning using heuristic search. Eng. Appl. Artif. Intell. 25: pp. 566-582 http://dx.doi.org/10.1016/j.engappai.2011.11.009

Caldas, L (2008) Generation of energy-efficient architecture solutions applying gene\_arch: an evolution-based generative design system. Adv. Eng. Inform. 22: pp. 59-70 http://dx.doi.org/10.1016/j.aei.2007.08.012

Watanabe, MS (2002) Induction Design: A Method for Evolutionary Design. Birkhauser, Basel

Marin, P., Bignon, J.C., Lequay, H.: Generative exploration of architectural envelope responding to solar passive qualities. In: Design & Decision Support Systems in Architecture and Urban Planning. Eindhoven U of Tech (2008)

Montana, D (1995) Strongly typed genetic programming. Evol. Comput. 3: pp. 199-230 http://dx.doi.org/10.1162/evco.1995.3.2.199

McKay, R, Hoai, N, Whigham, P, Shan, Y, O’Neill, M (2010) Grammar-based genetic programming: a survey. GPEM 11: pp. 365-396

Corne, D., Knowles, J.: Techniques for highly multiobjective optimisation: some nondominated points are better than others. In: Proceedings of GECCO 2007, pp. 773–780. ACM Press (2007)

Flack, R.: Robgp - robust object based genetic programming system, September 2009. http://sourceforge.net/projects/robgp/

Wiens, A, Ross, B (2002) Gentropy: evolutionary 2D texture generation. Comput. Graph. J. 26: pp. 75-88 http://dx.doi.org/10.1016/S0097-8493(01)00159-5

Ebert, D, Musgrave, F, Peachey, D, Perlin, K, Worley, S (1998) Texturing and Modeling: A Procedural Approach. Academic Press, New York

Heijer, E, Eiben, A (2010) Comparing aesthetic measures for evolutionary art. Applications of Evolutionary Computation. Springer, Heidelberg, pp. 311-320 http://dx.doi.org/10.1007/978-3-642-12242-2_32

== Links ==

=== Full Text ===

[external file]

[[internal file]]

=== Sonstige Links ===

@@ Zeile 22: / Zeile 22: @@
   doi={10.1007/978-3-319-16498-4_14},
   title={Interior Illumination Design Using Genetic Programming},
-  url={http://dx.doi.org/10.1007/978-3-319-16498-4_14 },
+  url={http://dx.doi.org/10.1007/978-3-319-16498-4_14 http://de.evo-art.org/index.php?title=Interior_Illumination_Design_Using_Genetic_Programming },
   publisher={Springer International Publishing},
   keywords={Illumination; Genetic programming; Radiance; Many-objective optimization},

@@ Zeile 22: / Zeile 22: @@
   doi={10.1007/978-3-319-16498-4_14},
   title={Interior Illumination Design Using Genetic Programming},
-  url={http://dx.doi.org/10.1007/978-3-319-16498-4_14},
+  url={http://dx.doi.org/10.1007/978-3-319-16498-4_14 },
-  url={http://de.evo-art.org/index.php?title=Interior_Illumination_Design_Using_Genetic_Programming},
+  url={http://de.evo-art.org/index.php?title=Interior_Illumination_Design_Using_Genetic_Programming },
   publisher={Springer International Publishing},
   keywords={Illumination; Genetic programming; Radiance; Many-objective optimization},

← Nächstältere Version		Version vom 30. Oktober 2015, 10:29 Uhr
Zeile 13:		Zeile 13:

	== Bibtex ==		== Bibtex ==
		+	@incollection{
		+	year={2015},
		+	isbn={978-3-319-16497-7},
		+	booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
		+	volume={9027},
		+	series={Lecture Notes in Computer Science},
		+	editor={Johnson, Colin and Carballal, Adrian and Correia, João},
		+	doi={10.1007/978-3-319-16498-4_14},
		+	title={Interior Illumination Design Using Genetic Programming},
		+	url={http://dx.doi.org/10.1007/978-3-319-16498-4_14},
		+	url={http://de.evo-art.org/index.php?title=Interior_Illumination_Design_Using_Genetic_Programming},
		+	publisher={Springer International Publishing},
		+	keywords={Illumination; Genetic programming; Radiance; Many-objective optimization},
		+	author={Moylan, Kelly and Ross, Brian J.},
		+	pages={148-160},
		+	language={English}
		+	}

	== Used References ==		== Used References ==

← Nächstältere Version		Version vom 28. Oktober 2015, 20:27 Uhr
Zeile 63:		Zeile 63:

	=== Sonstige Links ===		=== Sonstige Links ===
		+	http://www.cosc.brocku.ca/~bross/IllumGP/

@@ Zeile 37: / Zeile 37: @@
 Fuller, D., McNeil, A.: Radiance, http://www.radiance-online.org/
-Sims, K (1993) Interactive evolution of equations for procedural models. Vis. Comput. 9: pp. 466-476 http://dx.doi.org/10.1007/BF01888721
+Sims, K (1993) [[Interactive Evolution of Equations for Procedural Models]]. Vis. Comput. 9: pp. 466-476 http://dx.doi.org/10.1007/BF01888721
-Graf, J., Banzhaf, W.: Interactive Evolution of Images. In: Proceedings of International Conference on Evolutionary Programming, pp. 53–65 (1995)
+Graf, J., Banzhaf, W.: [[Interactive evolution of images]]. In: Proceedings of International Conference on Evolutionary Programming, pp. 53–65 (1995)
 Russell, S (2008) The Architecture of Light: Architectural Lighting Design Concepts and Techniques. Conceptnine, San Diego
-Tena, J.E., Rudomin, I., Eugenio, A., Sada, G., Gordo, C.: An interactive system for solving inverse illumination problems using genetic algorithms. In: Proceedings of Computación Visual (1997)
+Tena, J.E., Rudomin, I., Eugenio, A., Sada, G., Gordo, C.: [[An interactive system for solving inverse illumination problems using genetic algorithms]]. In: Proceedings of Computación Visual (1997)
 Fernández, E, Besuievsky, G (2012) Inverse lighting design for interior buildings integrating natural and artificial sources. Comput. Graph. 36: pp. 1096-1108 http://dx.doi.org/10.1016/j.cag.2012.09.003
@@ Zeile 49: / Zeile 49: @@
 Castro, F, Acebo, E, Sbert, M (2012) Energy-saving light positioning using heuristic search. Eng. Appl. Artif. Intell. 25: pp. 566-582 http://dx.doi.org/10.1016/j.engappai.2011.11.009
-Caldas, L (2008) Generation of energy-efficient architecture solutions applying gene\_arch: an evolution-based generative design system. Adv. Eng. Inform. 22: pp. 59-70 http://dx.doi.org/10.1016/j.aei.2007.08.012
+Caldas, L (2008) [[Generation of energy-efficient architecture solutions applying gene\_arch: an evolution-based generative design system]]. Adv. Eng. Inform. 22: pp. 59-70 http://dx.doi.org/10.1016/j.aei.2007.08.012
-Watanabe, MS (2002) Induction Design: A Method for Evolutionary Design. Birkhauser, Basel
+Watanabe, MS (2002) [[Induction Design: A Method for Evolutionary Design]]. Birkhauser, Basel
 Marin, P., Bignon, J.C., Lequay, H.: Generative exploration of architectural envelope responding to solar passive qualities. In: Design & Decision Support Systems in Architecture and Urban Planning. Eindhoven U of Tech (2008)
@@ Zeile 59: / Zeile 59: @@
 McKay, R, Hoai, N, Whigham, P, Shan, Y, O’Neill, M (2010) Grammar-based genetic programming: a survey. GPEM 11: pp. 365-396
-Corne, D., Knowles, J.: Techniques for highly multiobjective optimisation: some nondominated points are better than others. In: Proceedings of GECCO 2007, pp. 773–780. ACM Press (2007)
+Corne, D., Knowles, J.: [[Techniques for highly multiobjective optimisation: some nondominated points are better than others]]. In: Proceedings of GECCO 2007, pp. 773–780. ACM Press (2007)
 Flack, R.: Robgp - robust object based genetic programming system, September 2009. http://sourceforge.net/projects/robgp/
-Wiens, A, Ross, B (2002) Gentropy: evolutionary 2D texture generation. Comput. Graph. J. 26: pp. 75-88 http://dx.doi.org/10.1016/S0097-8493(01)00159-5
+Wiens, A, Ross, B (2002) [[Gentropy: evolving 2D textures]]. Comput. Graph. J. 26: pp. 75-88 http://dx.doi.org/10.1016/S0097-8493(01)00159-5
 Ebert, D, Musgrave, F, Peachey, D, Perlin, K, Worley, S (1998) Texturing and Modeling: A Procedural Approach. Academic Press, New York
-Heijer, E, Eiben, A (2010) Comparing aesthetic measures for evolutionary art. Applications of Evolutionary Computation. Springer, Heidelberg, pp. 311-320 http://dx.doi.org/10.1007/978-3-642-12242-2_32
+Heijer, E, Eiben, A (2010) [[Comparing Aesthetic Measures for Evolutionary Art]]. Applications of Evolutionary Computation. Springer, Heidelberg, pp. 311-320 http://dx.doi.org/10.1007/978-3-642-12242-2_32