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» Optimal Power Flow Based on Hybrid Genetic Algorithm
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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
13 years 11 months ago
An empirical investigation of how and why neutrality affects evolutionary search
The effects of neutrality on evolutionary search have been considered in a number of interesting studies, the results of which, however, have been contradictory. Some researchers ...
Edgar Galván López, Riccardo Poli
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
IWANN
1995
Springer
13 years 11 months ago
EL-SIM: a Development Environment for Neuro-Fuzzy Intelligent Controllers
1 This paper presents a new technique for the design of real-time controllers based on a hybrid approach which integrates several control strategies, such as intelligent controlle...
Marcello Chiaberge, G. Di Bene, S. Di Pascoli, R. ...
HICSS
1998
IEEE
169views Biometrics» more  HICSS 1998»
13 years 11 months ago
A Transmission-Constrained Unit Commitment Method
This paper presents a transmission-constrained unit commitment method using a Lagrangian relaxation approach. Based on a DC power flow model, the transmission constraints are form...
Chung-Li Tseng, Shmuel S. Oren, C. S. Cheng, C.-A....
BMCBI
2010
161views more  BMCBI 2010»
13 years 5 months ago
LTC: a novel algorithm to improve the efficiency of contig assembly for physical mapping in complex genomes
Background: Physical maps are the substrate of genome sequencing and map-based cloning and their construction relies on the accurate assembly of BAC clones into large contigs that...
Zeev Frenkel, Etienne Paux, David I. Mester, Cathe...