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» Experimental research in evolutionary computation
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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 4 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
HICSS
2006
IEEE
130views Biometrics» more  HICSS 2006»
15 years 4 months ago
Governance of the IT Function: Valuing Agility and Quality of Training, Cooperation and Communications
It has long been argued that the organizational structure and reporting relationships of the IT functional area profoundly affects organizational performance. However, since most ...
Felipe Csaszar, Eric K. Clemons
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 4 months ago
Real-coded ECGA for economic dispatch
In this paper, we propose a new approach that consists of the extended compact genetic algorithm (ECGA) and split-ondemand (SoD), an adaptive discretization technique, to economic...
Chao-Hong Chen, Ying-Ping Chen
RE
2008
Springer
14 years 9 months ago
Design Science, Engineering Science and Requirements Engineering
For several decades there has been a debate in the computing sciences about the relative roles of design and empirical research, and about the contribution of design and research ...
Roel Wieringa, J. M. G. Heerkens
TSE
2010
197views more  TSE 2010»
14 years 4 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi