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» Learning for Evolutionary Design
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IEEECIT
2009
IEEE
14 years 4 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
DAGSTUHL
2003
13 years 11 months ago
On Evolutionary Design, Embodiment, and Artificial Regulatory Networks
In this contribution we consider the idea that successful evolutionary design is best achieved in a networked system. We exemplify this thought by a discussion of artificial regula...
Wolfgang Banzhaf

Publication
295views
12 years 8 months ago
The Age of Analog Networks.
A large class of systems of biological and technological relevance can be described as analog networks, that is, collections of dynamic devices interconnected by links of varying s...
Claudio Mattiussi, Daniel Marbach, Peter Dürr, Da...
ECIS
2001
13 years 11 months ago
Operationalising Guidelines for Inter-Organisational Systems Planning: Exploring a Learning Model
This paper addresses the issue of operationalising guidelines for IOS planning. The authors explore the usefulness of Triple Loop Learning in light of the IOS development experien...
Pat Finnegan, Robert D. Galliers, Philip Powell
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 3 months ago
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
In many real-world design problems, uncertainties are often present and practically impossible to avoid. Many existing works on Evolutionary Algorithm (EA) for handling uncertaint...
Dudy Lim, Yew-Soon Ong, Bu-Sung Lee