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This paper proposes a methodology for compression of electrical power signals from waveform records in electric systems, using genetic algorithm (GA) and artificial neural network (ANN).
In this paper, a new intelligent-based approach is proposed to design GCPV systems using Genetic Algorithm (GA).
To overcome those limitations, this article focuses on the optimisation of assembly scheduling in VCIM systems using genetic algorithm (GA).
The chapter then explores the mating proclivities of other great apes and how we might find evidence for our more recent prehistoric mating systems using genetic and linguistic studies of modern humans.
As in the case of terrestrial systems, using genetic data to distinguish these two scenarios is difficult because their expected genetic signatures are often similar, a situation that is exacerbated if demographic changes such as expansions and bottlenecks occur after an isolating event [ 10, 15- 17].
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Metabolic engineering aims to improve biochemical production in a biological system using genetic modifications.
We demonstrated the improvement of penicillin acylase (PAC) production by optimization of the host/vector system using genetic engineering strategies.
In the first step tuning/learning process of a data base /knowledge base of the FLC is based on the model of the system using Genetic Algorithms (GA).
Energy, economic and environmental modeling/analysis were performed to optimize a gas engine CCHP system using Genetic Algorithm (GA) optimization method for residential buildings.
This paper presents a novel technique for both model parameters identification and optimized control design of a shunt active power filter system using genetic algorithms (GAs).
EPR is a recently developed hybrid data mining technique that searches for structured mathematical equations (representing the behaviour of a system) using genetic algorithm and the least squares method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com