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CEC
2008
IEEE
16 years 1 months ago
An investigation on evolutionary gradient search for multi-objective optimization
—Evolutionary gradient search is a hybrid algorithm that exploits the complementary features of gradient search and evolutionary algorithm to achieve a level of efficiency and r...
Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin ...
CDC
2010
IEEE
336views Control Systems» more  CDC 2010»
15 years 1 months ago
An application of IMPACT structure to bilateral teleoperations
Abstract-- Time-delays typically cause stability and performance problems in teleoperation systems. As a remedy for such problems in position-error based bilateral teleoperations, ...
Alper Denasi, Dragan Kostic, Henk Nijmeijer
CORR
2011
Springer
157views Education» more  CORR 2011»
14 years 10 months ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 12 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
ACCV
1998
Springer
15 years 10 months ago
VR Models from Epipolar Images: An Approach to Minimize Errors in Synthesized Images
A new paradigm, the minimization of errors in synthesized images, is introduced to organically combine Computer Vision and Computer Graphics for Virtual Reality applications. Based...
Mikio Shinya, Takafumi Saito, Takeaki Mori, Noriyo...