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» Framework Design for End-to-End Optimization
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AGENTS
1999
Springer
15 years 10 months ago
General Principles of Learning-Based Multi-Agent Systems
We consider the problem of how to design large decentralized multiagent systems (MAS’s) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a...
David Wolpert, Kevin R. Wheeler, Kagan Tumer
SIGIR
2010
ACM
15 years 10 months ago
Prototype hierarchy based clustering for the categorization and navigation of web collections
This paper presents a novel prototype hierarchy based clustering (PHC) framework for the organization of web collections. It solves simultaneously the problem of categorizing web ...
Zhaoyan Ming, Kai Wang, Tat-Seng Chua
ATAL
2006
Springer
15 years 10 months ago
Negotiating efficient outcomes over multiple issues
It is difficult to reach optimal outcomes in bilateral negotiations with multiple issues when the agents' preferences and priorities of the issues are not common knowledge. S...
Sabyasachi Saha, Sandip Sen
GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
15 years 7 months ago
Self-managing agents for dynamic scheduling in manufacturing
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Ana Madureira, Filipe Santos, Ivo Pereira
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 6 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay