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» The Learning Power of Evolution
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KBSE
2008
IEEE
15 years 6 months ago
Using dependency model to support software architecture evolution
Evolution of software systems is characterized by inevitable changes of software and increasing software complexity, which in turn may lead to huge maintenance and development cos...
Hongyu Pei Breivold, Ivica Crnkovic, Rikard Land, ...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 5 months ago
Differential evolution and non-separability: using selective pressure to focus search
Recent results show that the Differential Evolution algorithm has significant difficulty on functions that are not linearly separable. On such functions, the algorithm must rely...
Andrew M. Sutton, Monte Lunacek, L. Darrell Whitle...
GECCO
2005
Springer
15 years 5 months ago
Using gene deletion and gene duplication in evolution strategies
Self-adaptation of the mutation strengths is a powerful mechanism in evolution strategies (ES), but it can fail. As a consequence premature convergence or ending up in a local opt...
Karlheinz Schmitt
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 5 months ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
CEC
2003
IEEE
15 years 4 months ago
Digital circuit design through simulated evolution (SimE)
In this paper, the use of Simulated Evolution (SimE) Algorithm in the design of digital logic circuits is proposed. SimE algorithm consists of three steps: evaluation, selection an...
Sadiq M. Sait, Mostafa Abd-El-Barr, Uthman S. Al-S...