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TEC
2008
165views more  TEC 2008»
13 years 7 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
WECWIS
2005
IEEE
141views ECommerce» more  WECWIS 2005»
14 years 1 months ago
An Adaptive Bilateral Negotiation Model for E-Commerce Settings
This paper studies adaptive bilateral negotiation between software agents in e-commerce environments. Specifically, we assume that the agents are self-interested, the environment...
Vidya Narayanan, Nicholas R. Jennings
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
14 years 1 months ago
Generalized benchmark generation for dynamic combinatorial problems
Several general purpose benchmark generators are now available in the literature. They are convenient tools in dynamic continuous optimization as they can produce test instances w...
Abdulnasser Younes, Paul H. Calamai, Otman A. Basi...
GECCO
1999
Springer
158views Optimization» more  GECCO 1999»
14 years 6 days ago
Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems
In this paper, we discuss the adaptability of Coevolutionary Genetic Algorithms on dynamic environments. Our CGA consists of two populations: solution-level one and schema-level o...
Hisashi Handa, Osamu Katai, Tadataka Konishi, Mits...
ECAI
2004
Springer
14 years 1 months ago
Agreements Without Disagreements
The first part of this paper presents a coalition formation method for multi-agent systems which finds a Pareto optimal solution without aggregating the preferences of the agents. ...
Samir Aknine, Philippe Caillou