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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
14 years 10 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
89
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KBSE
2007
IEEE
15 years 3 months ago
Evacon: a framework for integrating evolutionary and concolic testing for object-oriented programs
Achieving high structural coverage such as branch coverage in objectoriented programs is an important and yet challenging goal due to two main challenges. First, some branches inv...
Kobi Inkumsah, Tao Xie
ICARIS
2004
Springer
15 years 2 months ago
A Fractal Immune Network
Proteins are the driving force in development (embryogenesis) and the immune system. Here we describe how a model of proteins designed for evolutionary development in computers can...
Peter J. Bentley, Jon Timmis
IJSKD
2011
163views more  IJSKD 2011»
14 years 4 months ago
Socio-Technical Systems: A Meta-Design Perspective
Meta-design of socio-technical systems is an approach which complies with the need of integrating two different types of structures and processes: technical systems which are engi...
Gerhard Fischer, Thomas Herrmann
EVOW
2010
Springer
15 years 4 months ago
Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist
Abstract. Finding appropriate parameter values for Evolutionary Algorithms (EAs) is one of the persistent challenges of Evolutionary Computing. In recent publications we showed how...
Selmar K. Smit, A. E. Eiben