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» On the convergence of Hill's method
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CEC
2009
IEEE
15 years 8 months ago
The Pareto-Following Variation Operator as an alternative approximation model
— This paper presents a critical analysis of the Pareto-Following Variation Operator (PFVO) when used as an approximation method for Multiobjective Evolutionary Algorithms (MOEA)...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 7 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
CEC
2007
IEEE
15 years 7 months ago
How well do multi-objective evolutionary algorithms scale to large problems
Abstract— In spite of large amount of research work in multiobjective evolutionary algorithms, most have evaluated their algorithms on problems with only two to four objectives. ...
Kata Praditwong, Xin Yao
TSP
2008
126views more  TSP 2008»
15 years 1 months ago
HOS-Based Semi-Blind Spatial Equalization for MIMO Rayleigh Fading Channels
In this paper we concentrate on the direct semi-blind spatial equalizer design for MIMO systems with Rayleigh fading channels. Our aim is to develop an algorithm which can outperf...
Zhiguo Ding, Tharmalingam Ratnarajah, Colin Cowan
CVPR
2012
IEEE
13 years 4 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao