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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 9 months ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
GECCO
2010
Springer
148views Optimization» more  GECCO 2010»
13 years 9 months ago
Guarding against premature convergence while accelerating evolutionary search
The fundamental dichotomy in evolutionary algorithms is that between exploration and exploitation. Recently, several algorithms [8, 9, 14, 16, 17, 20] have been introduced that gu...
Josh C. Bongard, Gregory S. Hornby
GECCO
2003
Springer
108views Optimization» more  GECCO 2003»
13 years 9 months ago
Evolution Strategies with Exclusion-Based Selection Operators and a Fourier Series Auxiliary Function
Abstract. To improve the efficiency of the currently known evolutionary algorithms, we have proposed two complementary efficiency speed-up strategies in our previous research work ...
Kwong-Sak Leung, Yong Liang
AE
2003
Springer
13 years 9 months ago
From Royal Road to Epistatic Road for Variable Length Evolution Algorithm
Although there are some real world applications where the use of variable length representation (VLR) in Evolutionary Algorithm is natural and suitable, an academic framework is la...
Michael Defoin-Platel, Sébastien Vér...
UPP
2004
Springer
13 years 10 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes
SBIA
2004
Springer
13 years 10 months ago
Detecting Promising Areas by Evolutionary Clustering Search
A challenge in hybrid evolutionary algorithms is to define efficient strategies to cover all search space, applying local search only in actually promising search areas. This pape...
Alexandre César Muniz de Oliveira, Luiz Ant...
PPSN
2004
Springer
13 years 10 months ago
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare algorithms using as many different parameter settings and test problems as possible...
Bo Yuan, Marcus Gallagher
PPSN
2004
Springer
13 years 10 months ago
The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes
The investigation of evolutionary algorithms as adaptation schemes has a long history starting with Holland (1975). The Ising model from physics leads to a variety of different pr...
Patrick Briest, Dimo Brockhoff, Bastian Degener, M...
IFIP
2004
Springer
13 years 10 months ago
Solving Geometrical Place Problems by using Evolutionary Algorithms
Geometrical place can be sometimes difficult to find by applying mathematical methods. Evolutionary algorithms deal with a population of solutions. This population (initially ran...
Crina Grosan
GECCO
2004
Springer
13 years 10 months ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer