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ADVAI
2010
110views more  ADVAI 2010»
14 years 4 months ago
Using Genetic Algorithms to Represent Higher-Level Planning in Simulation Models of Conflict
The focus of warfare has shifted from the Industrial Age to the Information Age, as encapsulated by the term Network Enabled Capability. This emphasises information sharing, comma...
James Moffat, Susan Fellows
97
Voted
CEC
2010
IEEE
14 years 10 months ago
Providing a memory mechanism to enhance the evolutionary design of heuristics
Genetic programming approaches have previously been employed in the literature to evolve heuristics for various combinatorial optimisation problems. This paper presents a hyper-heu...
Edmund K. Burke, Matthew R. Hyde, Graham Kendall
97
Voted
AISB
1994
Springer
15 years 1 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
70
Voted
FLAIRS
2007
14 years 12 months ago
Performance Analysis of Evolutionary Search with a Dynamic Restart Policy
In this work we explore how the complexity of a problem domain affects the performance of evolutionary search using a performance-based restart policy. Previous research indicates...
Michael Solano, Istvan Jonyer
IJON
2007
114views more  IJON 2007»
14 years 9 months ago
Ridgelet kernel regression
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
Shuyuan Yang, Min Wang, Licheng Jiao