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GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
14 years 10 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
IAT
2010
IEEE
14 years 7 months ago
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
Ah-Hwee Tan, Gee Wah Ng
MM
2010
ACM
148views Multimedia» more  MM 2010»
14 years 9 months ago
RAPID: a reliable protocol for improving delay
Recently, there has been a dramatic increase in interactive cloud based software applications (e.g. working on remote machines, online games, interactive websites such as financia...
Sanjeev Mehrotra, Jin Li, Cheng Huang
ATAL
2004
Springer
15 years 2 months ago
Embedded Agents for District Heating Management
We investigate the applicability of multi-agent systems as a control approach for district heating systems. The consumers, i.e., the heat exchange systems, in current district hea...
Paul Davidsson, Fredrik Wernstedt
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
15 years 2 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel