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FOCI
2007
IEEE
13 years 10 months ago
Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample
Abstract-- In this paper, we empirically analyze the convergence behavior of evolutionary algorithms (evolution strategies
Hans-Georg Beyer, Bernhard Sendhoff
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
13 years 12 months ago
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
Kagan Tumer, Adrian K. Agogino
CONNECTION
2004
94views more  CONNECTION 2004»
13 years 6 months ago
Evolving internal memory for T-maze tasks in noisy environments
In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
DaeEun Kim
JSAC
2011
184views more  JSAC 2011»
13 years 1 months ago
Goodput Enhancement of VANETs in Noisy CSMA/CA Channels
— The growing interest in vehicular ad hoc networks (VANETs) enables decentralized traveler information systems to become more feasible and effective in Intelligent Transportatio...
Yusun Chang, Christopher P. Lee, John A. Copeland
IPPS
2007
IEEE
14 years 22 days ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok