NDLI: Space allocation using intelligent optimization techniques

Content Provider	IEEE Xplore Digital Library
Author	Garcia, E.R.Q. Quintero, G.C.M.
Copyright Year	2010
Description	Author affiliation: Department of Electrical and Electronics Engineering, Universidad del Norte, Barranquilla, Colombia (Garcia, E.R.Q.; Quintero, G.C.M.)
Abstract	The space allocation problem has taken an important role in different fields. For instance, placing items in a warehouse where it is essential to take advantage of the available space and meet the production requirements. Similarly, the parking slot allocation for automobiles in a car parking in which there are occasions where a lack of proper distribution of the automobiles exist. In the same sense, the space allocation for crops in a land for cultivation in which it is important to take into account factors and features such as humidity and pH. In this paper, an intelligent organizer of objects is presented using Genetic Algorithms (GA) and Hill Climbing (HC) to solve the space allocation problem in a Warehouse, a Car Parking and a Land for Cultivation. Also, a technique that organizes objects randomly in the space was implemented to compare results with the intelligent techniques. Several tests were performed to check the proper system operation and then performance tests under different conditions are shown comparing the results between the intelligent techniques and the random technique. Finally, advantages and disadvantages of intelligent techniques to solve the space allocation problem are presented.
Starting Page	1
Ending Page	6
File Size	563123
Page Count	6
File Format	PDF
ISBN	9781424467402
e-ISBN	9781424467426
DOI	10.1109/ANDESCON.2010.5629994
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-15
Publisher Place	Colombia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gallium Temperature Gray codes Optimization methods Organizations Reflective binary codes Resource management Automobiles Genetic Algorithms Optimization Computational intelligence Logistics
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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