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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/14280

Title: Achieving optimal illumination conditions using local search
Authors: Sioutis, Marios
Lim, Yuto
Tan, Yasuo
Keywords: Local Search
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)
Start page: 168
End page: 172
DOI: 10.1109/GCCE.2015.7398629
Abstract: In this research we attempt to achieve optimal illumination conditions in enclosed spaces that contain multiple illumination devices using local search algorithms. Given an illumination request, the search space which consists of the combination of all possible device settings is explored with the use of local search algorithms. The illumination effects of devices are modeled on an approach based on ray-tracing. Regarding the problem modeling, we consider multiple-objective evaluation functions from which a single fitness value can be extracted for a solution. Furthermore, we discuss the properties of the search operations that explore the search space and how they capture the need for both exploration and exploitation. The applied local search algorithms are evaluated in terms of convergence speed and solution quality.
Rights: This is the author's version of the work. Copyright (C) 2015 IEEE. 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE), 2015, 168-172. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/14280
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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