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» Evolutionary algorithms and dynamic programming
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AISB
1994
Springer
13 years 12 months ago
An Empirical Comparison of Selection Methods in Evolutionary Algorithms
Selection methods in Evolutionary Algorithms, including Genetic Algorithms, Evolution Strategies ES and Evolutionary Programming, EP are compared by observing the rate of converge...
Peter J. B. Hancock
CEC
2009
IEEE
14 years 2 months ago
What is situated evolution?
—In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...
Martijn C. Schut, Evert Haasdijk, A. E. Eiben
JCP
2008
135views more  JCP 2008»
13 years 7 months ago
Hybrid Evolutionary Algorithm Based Solution for Register Allocation for Embedded Systems
Embedded systems have an ever-increasing need for optimizing compilers to produce high quality codes with a limited general purpose register set. Either memory or registers are use...
Anjali Mahajan, M. S. Ali
CEC
2009
IEEE
14 years 2 months ago
The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems
— Many real-world problems are dynamic, requiring an optimization algorithm which is able to continuously track a changing optimum over time. In this paper, we present a stigmerg...
Peter Korosec, Jurij Silc
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener