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EVOW
2007
Springer
16 years 11 days ago
Genetic Representations for Evolutionary Minimization of Network Coding Resources
Abstract. We demonstrate how a genetic algorithm solves the problem of minimizing the resources used for network coding, subject to a throughput constraint, in a multicast scenario...
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri...
ISCAS
2005
IEEE
122views Hardware» more  ISCAS 2005»
15 years 11 months ago
Towards a rigorous formulation of the space mapping technique for engineering design
—This paper deals with the Space Mapping (SM) approach to engineering design optimization. We attempt here a theoretical justification of methods that have already proven efficie...
Slawomir Koziel, John W. Bandler, Kaj Madsen
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
15 years 7 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan
SIAMSC
2008
147views more  SIAMSC 2008»
15 years 6 months ago
Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...
Michael P. Friedlander, Sven Leyffer
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 7 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu