An ant colony algorithm for solving the sky luminance model parameters

Authors:
Ping Guo;Lin Zhu;Zhujin Liu;Ying He
Affiliations:
School of Computer Science, Chongqing University, Chongqing, China;School of Computer Science, Chongqing University, Chongqing, China;School of Computer Science, Chongqing University, Chongqing, China;College of Architecture and Urban Planning, Chongqing University, Chongqing, China
Venue:
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Year:
2012

Citing 3
Cited 0

Ant algorithms for discrete optimization

Artificial Life
A hybrid ant colony optimization for continuous domains

Expert Systems with Applications: An International Journal
Ant colony system: a cooperative learning approach to the traveling salesman problem

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

The new concept of sky luminance distributions which is modeling skies under a wide range of occurrences from the overcast sky to cloudless situations without or with sunlight respectively was proposed by CIE. The numerical expressions of this concept contain five adjustable parameters (a, b, c, d, e). Each type of sky proposed by CIE represents one combination of the parameters. In this paper, according to the research on the characteristics of the numerical expressions, for a measured sky type, a heuristic algorithm for solving complex optimization problems --ant colony optimization will be used to analyze and optimize the influencing factors of the sky luminance and finally get its parameters value, the experiment results show that it has high accuracy and good effect.