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» Software Testing with Evolutionary Strategies
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TEC
2002
128views more  TEC 2002»
13 years 10 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
14 years 2 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
ICECCS
1997
IEEE
114views Hardware» more  ICECCS 1997»
14 years 3 months ago
An approach to integration testing based on architectural descriptions
Software architectures can play a role in improving the testing process of complex systems. In particular, descriptions of the software architecture can be useful to drive integra...
Antonia Bertolino, Paola Inverardi, Henry Muccini,...
BMCBI
2005
118views more  BMCBI 2005»
13 years 11 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken
CEC
2007
IEEE
14 years 5 months ago
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...
Dimo Brockhoff, Eckart Zitzler