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» Computational complexity and evolutionary computation
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ICTAI
2006
IEEE
15 years 3 months ago
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
15 years 3 months ago
Minimum spanning trees made easier via multi-objective optimization
Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
Frank Neumann, Ingo Wegener
COMPLEX
2009
Springer
15 years 4 months ago
Complex Phenomena in Orchestras - Metaphors for Leadership and Enterprise
This paper recognises that comparisons have been made between the role of the conductor of an orchestra and leaders of enterprises, but that little note has been taken of how the c...
Patrick Beautement, Christine Brönner
BMCBI
2011
14 years 4 months ago
PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment
Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...
HICSS
2003
IEEE
164views Biometrics» more  HICSS 2003»
15 years 2 months ago
From Computer Networks to Agent Networks
From the 1990s on, one of the most important challenges facing computer science researchers has been the design and construction of software tools to exploit Internet computing. A...
Guoqiang Zhong, Kenichi Takahashi, Satoshi Amamiya...