Results 141 to 150 of about 237,312 (198)

In-situ efficiency and parameter estimation for induction motors using heuristic optimization. [PDF]

Sci Rep
Göztaş M, Sahman MA, Çunkaş M.
europepmc   +1 more source

A Hybrid Optimization Algorithm for Enhancing Transportation and Logistics Scheduling in IoT-Enabled Supply Chains. [PDF]

Sensors (Basel)
Jihad AA, Abdalkafor AS, Yassen ET, Aldhaibani OA.   +3 more
europepmc   +1 more source

Minimizing quay crane downtime in container terminals using genetic algorithms with a case study of Tangier MED Port. [PDF]

Sci Rep
Garmouch H, Abdoun O, Garmouch O.
europepmc   +1 more source

Automated DFU detection through GA-selected CNN ensemble with Grad-CAM interpretability. [PDF]

Sci Rep
Girotra S, Jain A, Yadav S, Panwar A, Taneja H, Herout L, Krejcar O, Namazi H.   +7 more
europepmc   +1 more source

Cluster based WSN routing with MOGA and LSA optimization. [PDF]

Sci Rep
Tan W, Wang F.
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