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GECCO
2003
Springer
16 years 14 days ago
A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
William A. Greene
ALENEX
2008
180views Algorithms» more  ALENEX 2008»
15 years 8 months ago
Geometric Algorithms for Optimal Airspace Design and Air Traffic Controller Workload Balancing
The National Airspace System (NAS) is designed to accommodate a large number of flights over North America. For purposes of workload limitations for air traffic controllers, the a...
Amitabh Basu, Joseph S. B. Mitchell, Girishkumar S...
DMIN
2006
126views Data Mining» more  DMIN 2006»
15 years 8 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
CODES
2009
IEEE
15 years 8 months ago
Efficient dynamic voltage/frequency scaling through algorithmic loop transformation
We present a novel loop transformation technique, particularly well suited for optimizing embedded compilers, where an increase in compilation time is acceptable in exchange for s...
Mohammad Ali Ghodrat, Tony Givargis
GIS
2008
ACM
15 years 8 months ago
Heuristic algorithms for route-search queries over geographical data
In a geographical route search, given search terms, the goal is to find an effective route that (1) starts at a given location, (2) ends at a given location, and (3) travels via...
Yaron Kanza, Eliyahu Safra, Yehoshua Sagiv, Yerach...