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» Cooperative micro-particle swarm optimization
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GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
14 years 5 days ago
PSO and multi-funnel landscapes: how cooperation might limit exploration
Particle Swarm Optimization (PSO) is a population-based optimization method in which search points employ a cooperative strategy to move toward one another. In this paper we show ...
Andrew M. Sutton, Darrell Whitley, Monte Lunacek, ...
CDC
2009
IEEE
168views Control Systems» more  CDC 2009»
14 years 1 months ago
Content distribution by multiple multicast trees and intersession cooperation: Optimal algorithms and approximations
—The paper addresses the problem of massive content distribution in the network where multiple sessions coexist. In the traditional approaches, the sessions form separate overlay...
Xiaoying Zheng, Chunglae Cho, Ye Xia
GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
14 years 2 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
SAB
2004
Springer
182views Optimization» more  SAB 2004»
14 years 1 months ago
The SWARM-BOTS Project
This paper provides an overview of the SWARM-BOTS project, a robotic project sponsored by the Future and Emerging Technologies program of the European Commission. The paper illustr...
Marco Dorigo, Elio Tuci, Roderich Groß, Vito...
TFS
2008
157views more  TFS 2008»
13 years 8 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin