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GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
14 years 22 days ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
EVOW
2010
Springer
14 years 3 months ago
Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist
Abstract. Finding appropriate parameter values for Evolutionary Algorithms (EAs) is one of the persistent challenges of Evolutionary Computing. In recent publications we showed how...
Selmar K. Smit, A. E. Eiben
TEC
2002
183views more  TEC 2002»
13 years 8 months ago
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
Abstract--The particle swarm is an algorithm for finding optimal regions of complex search spaces through the interaction of individuals in a population of particles. Even though t...
Maurice Clerc, James Kennedy
CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
14 years 1 months ago
Maximizing aggregated revenue in sensor networks under deadline constraints
Abstract— We study the problem of maximizing the aggregated revenue in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the fo...
Srikanth Hariharan, Ness B. Shroff
CDC
2009
IEEE
155views Control Systems» more  CDC 2009»
14 years 26 days ago
Efficient and robust communication topologies for distributed decision making in networked systems
Distributed decision making in networked systems depends critically on the timely availability of critical fresh information. Performance of networked systems, from the perspective...
John S. Baras, Pedram Hovareshti