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EVOW
2009
Springer
13 years 6 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
ISCA
1999
IEEE
110views Hardware» more  ISCA 1999»
14 years 1 months ago
Decoupling Local Variable Accesses in a Wide-Issue Superscalar Processor
Providing adequate data bandwidth is extremely important for a wide-issue superscalar processor to achieve its full performance potential. Adding a large number of ports to a data...
Sangyeun Cho, Pen-Chung Yew, Gyungho Lee
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
14 years 11 days ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
EC
2010
157views ECommerce» more  EC 2010»
13 years 8 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
CPHYSICS
2006
204views more  CPHYSICS 2006»
13 years 8 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris