Results 241 to 250 of about 240,959 (297)

Modeling and experimental evaluation of biochar-mediated biofiltration for hydrogen sulfide capture from biogas. [PDF]

PLoS One
Zarei M, Bayati MR, Rohani A, Ebrahimi-Nik M, Hejazi B.   +4 more
europepmc   +1 more source

Reduction of noise pollution in CNC wood milling through multi-parameter optimization using response surface methodology. [PDF]

PLoS One
Souri S, Rabiei F.
europepmc   +1 more source

UIGen: a hybrid framework for underwater image encryption based on evolutionary chaotic system and multi-domain transformation. [PDF]

Sci Rep
Khokhar P, Bedi J, Batra S.
europepmc   +1 more source

Optimizing imbalanced learning with genetic algorithm. [PDF]

Sci Rep
Safder MU, Naveed SS, Khurshid K, Salman A, Nizami IF.   +4 more
europepmc   +1 more source

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Genetic Algorithm for Gas Turbine Blading Design

Volume 7: Turbomachinery, Parts A, B, and C, 2011
Designing a gas turbine from scratch has always been an extremely laborious task in terms of obtaining the desired power output and efficiency. Theoretical prediction of the performances of a gas turbine has proven in time to be a compromise between accuracy and simplicity of the calculus.
Cleopatra F. Cuciumita, Valeriu A. Vilag, Valentin Silivestru, Ionut Porumbel   +3 more
openaire   +1 more source

Forking Genetic Algorithms: GAs with Search Space Division Schemes

Evolutionary Computation, 1997
In this article, we propose a new type of genetic algorithm (GA), the forking GA (fGA), which divides the whole search space into subspaces, depending on the convergence status of the population and the solutions obtained so far. The fGA is intended to deal with multimodal problems that are difficult to solve using conventional GAs.
S, Tsutsui, Y, Fujimoto, A, Ghosh
openaire   +2 more sources

RCQ-GA: RDF Chain Query Optimization Using Genetic Algorithms

2009
The application of Semantic Web technologies in an Electronic Commerce environment implies a need for good support tools. Fast query engines are needed for efficient querying of large amounts of data, usually represented using RDF. We focus on optimizing a special class of SPARQL queries, the so-called RDF chain queries.
Hogenboom, A.C., Milea, D.V., Frasincar, F., Kaymak, U.   +3 more
openaire   +3 more sources

The GA-P: a genetic algorithm and genetic programming hybrid

IEEE Expert, 1995
The GA-P performs symbolic regression by combining the traditional genetic algorithms function optimization strength with the genetic-programming paradigm to evolve complex mathematical expressions capable of handling numeric and symbolic data. This technique should provide new insights into poorly understood data relationships. >
L.M. Howard, D.J. D'Angelo
openaire   +1 more source