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TEC
2002
133views more  TEC 2002»
15 years 6 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
PRL
2008
161views more  PRL 2008»
15 years 6 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
ICRA
2010
IEEE
115views Robotics» more  ICRA 2010»
15 years 5 months ago
An optimization approach to rough terrain locomotion
— We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms t...
Matthew Zucker, James A. Bagnell, Christopher G. A...
ICCAD
2009
IEEE
119views Hardware» more  ICCAD 2009»
15 years 5 months ago
Iterative layering: Optimizing arithmetic circuits by structuring the information flow
Current logic synthesis techniques are ineffective for arithmetic circuits. They perform poorly for XOR-dominated circuits, and those with a high fan-in dependency between inputs ...
Ajay K. Verma, Philip Brisk, Paolo Ienne
SIAMJO
2011
15 years 2 months ago
A Unifying Polyhedral Approximation Framework for Convex Optimization
Abstract. We propose a unifying framework for polyhedral approximation in convex optimization. It subsumes classical methods, such as cutting plane and simplicial decomposition, bu...
Dimitri P. Bertsekas, Huizhen Yu