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» A New Crossover Operator for Genetic Algorithms
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GECCO
2009
Springer
14 years 2 months ago
The relationship between evolvability and bloat
Bloat is a common problem with Evolutionary Algorithms (EAs) that use variable length representation. By creating unnecessarily large individuals it results in longer EA runtimes ...
Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jo...
DIS
2006
Springer
13 years 11 months ago
A Novel Framework for Discovering Robust Cluster Results
We propose a novel method, called heterogeneous clustering ensemble (HCE), to generate robust clustering results that combine multiple partitions (clusters) derived from various cl...
Hye-Sung Yoon, Sang-Ho Lee, Sung-Bum Cho, Ju Han K...
JCP
2008
135views more  JCP 2008»
13 years 7 months ago
Hybrid Evolutionary Algorithm Based Solution for Register Allocation for Embedded Systems
Embedded systems have an ever-increasing need for optimizing compilers to produce high quality codes with a limited general purpose register set. Either memory or registers are use...
Anjali Mahajan, M. S. Ali
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 1 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
GLOBECOM
2010
IEEE
13 years 5 months ago
Sensor Placement for Minimum Exposure in Distributed Active Sensing Networks
Distributed active sensing is a new sensing paradigm, where active sensors and passive sensors are distributed in a field, and collaboratively detect and track the objects. "E...
Na Xia, Khuong Vu, Rong Zheng