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» Combining genetic algorithms with squeaky-wheel optimization
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EVOW
2007
Springer
14 years 1 months ago
Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems
Abstract. Addressing dynamic optimization problems has been a challenging task for the genetic algorithm community. Over the years, several approaches have been developed into gene...
Shengxiang Yang
SSPR
2004
Springer
14 years 1 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 1 months ago
A genetic algorithm for privacy preserving combinatorial optimization
We propose a protocol for a local search and a genetic algorithm for the distributed traveling salesman problem (TSP). In the distributed TSP, information regarding the cost funct...
Jun Sakuma, Shigenobu Kobayashi
JDCTA
2010
148views more  JDCTA 2010»
13 years 2 months ago
Application Research on Optimal Path Based on Genetic Algorithm
At present, China's automobile logistics cost accounts for more than 20% of the production of motor vehicles. Therefore, lowering logistics cost by seeking its best path is a...
Lilin Fan, Huili Meng
JUCS
2008
153views more  JUCS 2008»
13 years 7 months ago
Bus Network Optimization with a Time-Dependent Hybrid Algorithm
: This paper describes a new hybrid technique that combines a Greedy Randomized Adaptive Search Procedure (GRASP) and a genetic algorithm with simulation features in order to solve...
Ana C. Olivera, Mariano Frutos, Jessica Andrea Car...