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» The State Problem for Evolutionary Testing
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HAIS
2009
Springer
14 years 1 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 9 months ago
Testing parallelization paradigms for MOEAs
In this paper, we report on our investigation of factors affecting the performance of various parallelization paradigms for multiobjective evolutionary algorithms. Different paral...
Sadeesha Gamhewa, Philip Hingston
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 2 months ago
Analysis of evolutionary algorithms for the longest common subsequence problem
In the longest common subsequence problem the task is to find the longest sequence of letters that can be found as subsequence in all members of a given finite set of sequences....
Thomas Jansen, Dennis Weyland
GECCO
2004
Springer
259views Optimization» more  GECCO 2004»
14 years 1 months ago
Evaluation of Different Fitness Functions for the Evolutionary Testing of an Autonomous Parking System
The method of evolutionary functional testing allows for the automation of testing by transforming test case design into an optimization problem. To this end it is necessary to def...
Joachim Wegener, Oliver Bühler
GECCO
2004
Springer
152views Optimization» more  GECCO 2004»
14 years 1 months ago
Ant System for the k-Cardinality Tree Problem
This paper gives an algorithm for finding the minimum weight tree having k edges in an edge weighted graph. The algorithm combines a search and optimization technique based on phe...
Thang Nguyen Bui, Gnanasekaran Sundarraj