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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 10 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
SIAMJO
2010
133views more  SIAMJO 2010»
15 years 2 months ago
Infeasibility Detection and SQP Methods for Nonlinear Optimization
This paper addresses the need for nonlinear programming algorithms that provide fast local convergence guarantees no matter if a problem is feasible or infeasible. We present an a...
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
ICCV
2005
IEEE
15 years 9 months ago
Progressive Surface Reconstruction from Images Using a Local Prior
This paper introduces a new method for surface reconstruction from multiple calibrated images. The primary contribution of this work is the notion of local prior to combine the ï¬...
Gang Zeng, Sylvain Paris, Long Quan, Franço...
JCP
2006
151views more  JCP 2006»
15 years 4 months ago
Simulated Annealing based Wireless Sensor Network Localization
In this paper, we describe a novel localization algorithm for ad hoc wireless sensor networks. Accurate selforganization and localization capability is a highly desirable character...
Anushiya A. Kannan, Guoqiang Mao, Branka Vucetic
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GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 10 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon