quantitative relationships between structures of twenty six of 2-mercaptoimidazoles as c-c chemokine receptor type 2 (ccr2) inhibitors were assessed. modeling of the biological activities of compounds of interest as a function of molecular structures was established by means of genetic algorithm multivariate linear regression (ga-mlr) and genetic algorithm (ga-ann). the results showed that, the...

Robust array beamforming is a challenging task in radar, sonar and communications due to the influence of direction arrival (DOA) mismatch sensor position errors. However, how enhance robustness key issue antenna arrays. The current paper focuses on novel approach called improved chicken swarm optimization (ICSO) method settle model conventional linearly constrained minimum variance (LCMV) base...

in this study, a hybrid algorithm is presented to tackle multi-variables robust design problem. the proposed algorithm comprises neural networks (nns) and co-evolution genetic algorithm (cga) in which neural networks are as a function approximation tool used to estimate a map between process variables. furthermore, in order to make a robust optimization of response variables, co-evolution algor...

The Genetic algorithm optimization method is used in this paper for the synthesis of antenna array radiation pattern in adaptive beamforming. The synthesis problem in this paper discussed is to finding the weights of the antenna array elements that are optimum to provide the radiation pattern with maximum reduction in the sidelobe level. This technique proved its effectiveness in improving the ...

in this paper, a new method based on branch placement for the optimal positioning of phasor measurement units (pmus) in power systems is proposed. in this method, the pmus are in type of single-channel and are installed at the beginning of the branches. therefore, they are able to measure the bus voltages. also, the installation of the pmus on the branches increases the security of observabilit...

Despite a large number of advantages, Torque Ripple (TR) is the most important drawback of Switched Reluctance Motor (SRM). In the presented study, TR was reduced by optimizing the gate pulse angle of the SRM phase which played a leading role in the generated torque profile. For the Optimization, one of the strategies of Genetic Algorithm (GA) which was named Non-dominated Sorting Genetic Algor...

Among artificial intelligence approaches, artificial neural networks (ANNs) and genetic algorithm (GA) are widely applied for modification of materials property in engineering science in large scale modeling. In this work artificial neural network (ANN) and genetic algorithm (GA) were applied to find the optimal conditions for achieving the maximum hardness of Al6061 reinforced by multiwall car...

This study is focused on the development of a systematic computational approach which implements Genetic Algorithm (GA) to find the optimal rigorous kinetic models.A general Kinetic model for hydrogenolysis of dibenzothiophene (DBT) based on Langmuir-Hinshelwood type has been obtained from open literature. This model consists of eight continuous parameters(e.g., Arrhenus  and Van't...