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» Hybrid Genetic Algorithms: A Review
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GECCO
2003
Springer
162views Optimization» more  GECCO 2003»
15 years 5 months ago
Optimization of Spare Capacity in Survivable WDM Networks
A network with restoration capability requires spare capacity to be used in the case of failure. Optimization of spare capacity is to find the minimum amount of spare capacity for ...
H. W. Chong, Sam Kwong
100
Voted
IPPS
2007
IEEE
15 years 6 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
87
Voted
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 4 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
CEC
2010
IEEE
15 years 1 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
107
Voted
DAM
2007
91views more  DAM 2007»
15 years 10 days ago
Integer linear programming approaches for non-unique probe selection
In addition to their prevalent use for analyzing gene expression, DNA microarrays are an efficient tool for biological, medical, and industrial applications because of their abil...
Gunnar W. Klau, Sven Rahmann, Alexander Schliep, M...