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New Index
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Item
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Architectural Layout Optimization for Residential Home in Multiagent Environment
http://hdl.handle.net/20.500.12678/0000004141
http://hdl.handle.net/20.500.12678/00000041416fceaff0-8c61-4e0c-aa99-47c7b5b1bdb5
e18a482c-455d-45bb-830a-222ae950c405
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Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Architectural Layout Optimization for Residential Home in Multiagent Environment | |||||
Language | en | |||||
Publication date | 2009-12-30 | |||||
Authors | ||||||
Hlaing, Ngu Wah | ||||||
Tun, Myint Thu Zar | ||||||
Description | ||||||
For human beings, one of the most important and essential thing is peaceful and quality living. Therefore, people must be related with architecture for their pleasant life. But, there may be some difficulties and theories to understand the Architecture easily. In this system, we introduce to Artificial Intelligent, one of the most popular computer science techniques. For architectural layout optimization, we can use Artificial Intelligence to generate human decision making as an architect. We want to highlight about an optimization of the architectural floor plan layout design with the use of AI during conceptual design stage. Moreover, automated optimization result will lead us to the new approach of integrating with the computer science and architecture. This system tends to implement generating architectural floor plan in multiagent environment and agents also make many-to-one negotiation to reach agreements. For instance, we use four agents namely planner agent, lighting agent, accessibility agent and bylaw agent in the system. | ||||||
Keywords | ||||||
architect, Artificial Intelligence, floor plan, negotiation, decision making | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1840 | |||||
Journal articles | ||||||
Fourth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |