Optimization Neuro Fuzzy Using Genetic Algorithm For Diagnose Typhoid Fever by Muhamad Nasrul Fata, Riza Arifudin, Budi Prasetiyo

“…Then the value of the degree of neuro fuzzy membership is more optimal. The results of this optimization are the diagnosis of typhoid fever based on the variable of indications entered. …”
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Evaluating Task Optimization and Reinforcement Learning Models in Robotic Task Parameterization by Michele Delledonne, Enrico Villagrossi, Manuel Beschi, Alireza Rastegarpanah

“…The results demonstrate that although RL models improve task optimization efficiency by 95%, they still need more flexibility. …”
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Aerodynamic Shape Optimization of Wing–Fuselage Intersection for Minimum Interference Drag by Nuno M. B. Matos, André C. Marta

“…Interference drag in wing–fuselage intersection regions is a complex aerodynamic phenomenon where secondary flows and separation conditions might occur if not properly addressed in the aircraft design. In this work, the optimal shape of the intersection region between the wing and fuselage of a MALE UAV is studied using gradient-based optimization and free-form deformation techniques. …”
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Modification of the genetic algorithm for comprehensive topological optimization of the synchronous motors rotor by T. I. Petrov

“…The aim is to develop a methodology for topological complex optimization of the engine design, based on a genetic algorithm.METHODS. …”
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Determination of Steel Losses and Optimization of the Thickness of the Transformer Magnetic Conductor Sheets by S. M. Plotnikov

“…This information will make it possible to minimize total steel losses more effectively by varying the design parameters and the material of the magnetic conductor. …”
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Optimization of microwave components using machine learning and rapid sensitivity analysis by Slawomir Koziel, Anna Pietrenko-Dabrowska

“…With the increasing complexity of passive microwave components, meticulous tuning of their geometry parameters has become imperative to fulfill demands imposed by the diverse application areas. More and more often, achieving the best possible performance requires global optimization. …”
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Applying conditional optimization to determine the allowable loads on flexurally rigid threads by D. A. Tarasov

“…This study is based on mathematical modeling of the problem of conditional optimization. The objective function is the total potential energy of deformation of a thread with some flexural rigidity. …”
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Optimizing Districting and Seat Allocation for Enhanced Representativeness in Chile’s Chamber of Deputies by Rodrigo Rebolledo, Ana Ulloa, Óscar Cornejo, Carlos Obreque, Felipe Baesler

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Route Optimization for UGVs: A Systematic Analysis of Applications, Algorithms and Challenges by Dario Fernando Yépez-Ponce, William Montalvo, Ximena Alexandra Guamán-Gavilanes, Mauricio David Echeverría-Cadena

“…This research focuses on route optimization for autonomous ground vehicles, with key applications in precision agriculture, logistics and surveillance. …”
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Developing an Optimize Deep Learning Framework for Brain Tumors Detection and Classification by Ghosh Sayani, Mazumder Souvik, Kundu Prasenjit, Dey Arpita

“…Automation in the classification process optimizes efficiency for faster and more reliable diagnostic support. …”
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Multi-Microgrid System Optimization Addressing the Uncertainties in Generation and Load Demand by Lena Abu-El-Haija, Basel E'Layan, Yousef Refai, Mohamed Kenan Alsafadi, Mohammad J. Abdel-Rahman, Ahmad I. Abu-El-Haija

“…Clustering highly interacting microgrids into subsets yields a more cost-effective substitute for the complete graph assumption. …”
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Advances in Virtual Power Plant Operations: A Review of Optimization Models by Fatemeh Marzbani, Ahmed H. Osman, Mohamed S. Hassan

“…VPPs not only increase the flexibility, reliability, scalability, and performance of power systems but also improve asset utilization, bolster system resilience, and foster more effective market interactions. This surge in VPP deployment has sparked extensive research focused on optimizing VPP operations and their engagement with electricity markets. …”
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Binary program taint analysis optimization method based on function summary by Pan YANG, Fei KANG, Hui SHU, Yuyao HUANG, Xiaoshao LYU

“…Taint analysis is a popular software analysis method, which has been widely used in the field of information security.Most of the existing binary program dynamic taint analysis frameworks use instruction-level instrumentation analysis methods, which usually generate huge performance overhead and reduce the program execution efficiency by several times or even dozens of times.This limits taint analysis technology’s wide usage in complex malicious samples and commercial software analysis.An optimization method of taint analysis based on function summary was proposed, to improve the efficiency of taint analysis, reduce the performance loss caused by instruction-level instrumentation analysis, and make taint analysis to be more widely used in software analysis.The taint analysis method based on function summary used function taint propagation rules instead of instruction taint propagation rules to reduce the number of data stream propagation analysis and effectively improve the efficiency of taint analysis.For function summary, the definition of function summary was proposed.And the summary generation algorithms of different function structures were studied.Inside the function, a path-sensitive analysis method was designed for acyclic structures.For cyclic structures, a finite iteration method was designed.Moreover, the two analysis methods were combined to solve the function summary generation of mixed structure functions.Based on this research, a general taint analysis framework called FSTaint was designed and implemented, consisting of a function summary generation module, a data flow recording module, and a taint analysis module.The efficiency of FSTaint was evaluated in the analysis of real APT malicious samples, where the taint analysis efficiency of FSTaint was found to be 7.75 times that of libdft, and the analysis efficiency was higher.In terms of accuracy, FSTaint has more accurate and complete propagation rules than libdft.…”
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AN ITERATION METHOD OF COMPANY MANAGEMENT OPTIMIZATION USING INvERSE CALCULATIONS by B. E. Odintsov, A. N. Romanov

“…Therefore, some authors suggest non-linear «soft» models as a substitute for linear ones since they are supposed to make an optimized system more robust. The rigidity of a model that is set as an optimization task is concerned not so much with linearity or non-linearity of its target function as with the lack of flexible substitution of resources in case of their shortage. …”
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CNN-based Rolling Optimization Strategy for Prosumer Group in Demand Response by Xudong ZHANG, Fei LI, Di LIU, Yi SUN, Bin LI

“…Simulation experiments show that the prediction accuracy of the prosumers decision behavior prediction model proposed in this paper is more than 99%, and the rolling optimization strategy considering the load rebound phenomenon can increase the prosumers’ local consumption rate of renewable energy by more than 5%. …”
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Fuzzy Linear Programming for Economic Planning and Optimization: A Quantitative Approach by Mohammad Anber Abraheem Shlash, Nijalingappa Yogeesh, Mohammad Suleiman Ibrahim Shelash, Natarajan Raja, Lingaraju Lingaraju, Vasudevan Asokan, Alshurideh Muhammad Turki

“…Fuzzy Linear Programming (FLP) has the potential to be used in optimizing economic planning and making decisions under uncertainty. …”
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Investigating the Impact of Providing Supplementary Resources in Optimizing Teaching Grammar Tenses by Muhammed Rafiq Ali, Atta Abdalwahid Ahmed, Aida Ariannejad

“…The present study aims to examine the effectiveness of additional resources in optimizing teaching grammar tenses to Kurdish EFL secondary school learners. …”
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Optimal information dissemination strategy to promote preventivebehaviors in multilayer epidemic networks by Heman Shakeri, Faryad Darabi Sahneh, Caterina Scoglio, Pietro Poggi-Corradini, Victor M. Preciado

“…Inherent differences between these two layers cause alerting through CN to be more effective but more expensive than IDN. The constraint for an epidemic to die out derived from a nonlinear Perron-Frobenius problem that was transformed into a semi-definite matrix inequality and served as a constraint for a convex optimization problem. …”
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Optimization of Bioinspired Scaffolds to Enhance Cell Viability and Enable Tissue Growth by Jackeline de Oliveira Riqueira, Danilo Barbosa Liarte, Silvia Lenyra Meirelles Campos Titotto

“…It is expected that advances in scaffold research will lead to more sophisticated and effective tissue engineering technologies capable of promoting the regeneration of damaged or lost tissues more precisely and efficiently. …”
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Optimization of Intensive Therapy Strategies for Sepsis on the Basis of the Clinicostatistical Model PIRO by L. A. Maltseva, A. O. Volkov

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