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EVOW
2009
Springer
13 years 9 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. ...
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
14 years 4 months ago
A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem
We present a new Immune Algorithm that incorporates a simple local search procedure to improve the overall performances to tackle the graph coloring problem instances. We character...
Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone
ICML
2009
IEEE
14 years 6 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
CEC
2008
IEEE
14 years 5 months ago
Divide and conquer evolutionary TSP solution for vehicle path planning
— The problem of robotic area coverage is applicable to many domains, such as search, agriculture, cleaning, and machine tooling. The robotic area coverage task is concerned with...
Ryan J. Meuth, Donald C. Wunsch
EVOW
2007
Springer
14 years 5 months 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...