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AI
2001
Springer
13 years 12 months ago
Learning about Constraints by Reflection
A system's constraints characterizes what that system can do. However, a dynamic environment may require that a system alter its constraints. If feedback about a specific situ...
J. William Murdock, Ashok K. Goel
TCOM
2008
76views more  TCOM 2008»
13 years 8 months ago
Multi-user selection diversity for spread-spectrum multi-carrier multiple-access systems
Recently, Multi-User Selection Diversity (MUSDiv) for single-carrier systems has been under extensive study on account of the enhancement it provides to system performance with min...
Petros L. Katsis, George K. Karagiannidis, Fotini-...
MATES
2007
Springer
14 years 2 months ago
Coordinating Competitive Agents in Dynamic Airport Resource Scheduling
In real-life multi-agent planning problems, long-term plans will often be invalidated by changes in the environment during or after the planning process. When this happens, short-t...
Xiaoyu Mao, Adriaan ter Mors, Nico Roos, Cees Witt...
EAAI
2006
123views more  EAAI 2006»
13 years 8 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
GECCO
2007
Springer
230views Optimization» more  GECCO 2007»
14 years 2 months ago
Activation energy-based simulation for self-assembly of multi-shape tiles
Building artificial systems using self-assembly is one of the main issues of artificial life [17]. Scientists are trying to understand this process either using experimental appro...
Mostafa Mostafa Hashim Ellabaan