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» The Learning Power of Evolution
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KES
2008
Springer
14 years 11 months ago
Instruction-based development: From evolution to generic structures of digital circuits
Evolutionary techniques provide powerful tools to design novel solutions for hard problems in different areas. However, the problem of scale (i.e. how to create a large, complex s...
Michal Bidlo, Jaroslav Skarvada
CEC
2007
IEEE
15 years 6 months ago
Graph design by graph grammar evolution
— Determining the optimal topology of a graph is pertinent to many domains, as graphs can be used to model a variety of systems. Evolutionary algorithms constitute a popular opti...
Martin H. Luerssen, David M. W. Powers
PKDD
2005
Springer
155views Data Mining» more  PKDD 2005»
15 years 5 months ago
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication
How can we generate realistic graphs? In addition, how can we do so with a mathematically tractable model that makes it feasible to analyze their properties rigorously? Real graphs...
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinb...
ICCS
1998
Springer
15 years 3 months ago
Handling Specification Knowledge Evolution Using Context Lattices
Internet-based information technologies have considerable potential for improving collaboration in professional communities. In this paper, we explain the concept of user-driven sp...
Aldo de Moor, Guy W. Mineau
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 3 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone