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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
16 years 1 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 5 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
16 years 15 days 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 6 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
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
16 years 1 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