Sciweavers

10 search results - page 2 / 2
» A hybrid multi-objective extremal optimisation approach for ...
Sort
View
EVOW
2010
Springer
14 years 2 months ago
Multi-Objective Probability Collectives
We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to ...
Antony Waldock, David Corne
EMO
2009
Springer
155views Optimization» more  EMO 2009»
14 years 2 months ago
A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point
A nadir point is constructed by the worst objective values of the solutions of the entire Pareto-optimal set. Along with the ideal point, the nadir point provides the range of obje...
Kalyanmoy Deb, Kaisa Miettinen, Deepak Sharma
CP
2009
Springer
14 years 8 months ago
Minimising Decision Tree Size as Combinatorial Optimisation
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
BMCBI
2005
152views more  BMCBI 2005»
13 years 7 months ago
An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problem
Background: The protein folding problem is a fundamental problems in computational molecular biology and biochemical physics. Various optimisation methods have been applied to for...
Alena Shmygelska, Holger H. Hoos
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 2 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett