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ECAL
2007
Springer
13 years 11 months ago
Artificial Ecosystem Selection for Evolutionary Optimisation
Abstract. Artificial selection of microbial ecosystems for their collective function has been shown to be effective in laboratory experiments. In previous work, we used evolutionar...
Hywel T. P. Williams, Timothy M. Lenton
CEC
2008
IEEE
14 years 1 months ago
Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation
— Many optimisation problems are multi-objective and change dynamically. Many methods use a weighted average approach to the multiple objectives. This paper introduces the usage ...
Mardé Greeff, Andries Petrus Engelbrecht
AAAI
2012
11 years 9 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
MOC
2000
111views more  MOC 2000»
13 years 7 months ago
Voronoi's algorithm in purely cubic congruence function fields of unit rank 1
The first part of this paper classifies all purely cubic function fields over a finite field of characteristic not equal to 3. In the remainder, we describe a method for computing ...
Renate Scheidler, Andreas Stein
ECBS
2009
IEEE
120views Hardware» more  ECBS 2009»
14 years 2 months ago
Tuning Complex Sensornet Systems Using Principled Engineering Methods
Sensornet lifespan and utility is limited by the energy resources of individual motes. Network designers seek to maximise energy efficiency while maintaining acceptable Quality o...
Jonathan Tate, Iain Bate