Optimal Robust Motion Controller Design Using Multiobjective Genetic Algorithm by Andrej Sarjaš, Rajko Svečko, Amor Chowdhury

“…The design of controllers and multiobjective optimization procedure involve a set of the objectives, which are optimized simultaneously with a genetic algorithm—differential evolution.…”
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Reconfigurable Manufacturing Systems: Enhancing Efficiency via Product Family Optimization by Bahtat Chaymae, El Barkany Abdellah

“…Unlike traditional approaches, our method emphasizes the practical implementation of the Analytic Hierarchy Process (AHP) and the Average Linkage Clustering (ALC) algorithm to optimize RMS configurations. By evaluating specific comparison criteria—such as assembly sequence, machining sequence, components, production tools, and production demand—we aim to enhance resource utilization and adaptability to market changes. …”
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The Impact of Geometric Modifications and the Signal Plan Optimization of Intersections in an Urban Area by Veronika Harantová, Kristína Ovary Bulková

“…The aim of this research is to analyze new proposals for the organization of traffic in the intersection model with rational solutions to increase its performance. …”
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Robust multi-objective optimization for water flooding under geological uncertainty by Abobakr Sori, Mohammad Sharifi, Nooshin Jabari

“…By employing a multi-objective optimization (MOO) algorithm, we aim to minimize the sensitivity of objective functions to geological variability. …”
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Nonlinear Optimization and Adaptive Heuristics for Solving Irregular Object Packing Problems by János D. Pintér, Ignacio Castillo, Frank J. Kampas

“…Specifically, here we consider classes of general OP problems that can be formulated in the framework of nonlinear optimization. Research experience demonstrates that—in addition to utilizing general-purpose nonlinear optimization solver engines—the insightful exploitation of problem-specific heuristics can improve the quality of numerical solutions. …”
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Enhancing Efficiency and Regularization in Convolutional Neural Networks: Strategies for Optimized Dropout by Mehdi Ghayoumi

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Distributed Optimization for Mobile Robots under Mobile Edge Computing Environment by Hui Luo, Quan Yin

“…We design a joint resource and power allocation strategy aimed at minimizing network energy consumption. First, we use the Lyapunov optimization technique to transform the original infinite horizon Markov decision process (MDP) problem. …”
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Optimal research on Agrobacterium-mediated transformation systems of tomato (Lycopersicon esculentum) by CHEN Zhen, ZHU Cheng

“…The conditions for regeneration and transformation of tomato mediated by A grobacterium tume faciens were studied with the aim of optimizing the transformation protocol. Factors of different genotypes, culture media, age and type of explants, plant expression vectors and select systems were investigated. …”
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LANA-YOLO: Road defect detection algorithm optimized for embedded solutions by Paweł TOMIŁO

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A Design-Oriented Model for Transmission Loss Optimization in Marine DOCs by Jan Kašpar, Francesco Mauro, Marco Biot, Giovanni Rognoni, Giada Kyaw Oo D’Amore

“…Moreover, in the available literature, there is a lack of guidelines about the design of integrated EGCSs. This study aims to develop an ad hoc optimization methodology that uses combined Computational Fluid Dynamics (CFD)–Finite Element Method (FEM) simulations, surrogate models, and Genetic Algorithms to optimize the acoustic properties of EGCSs while considering the limits imposed by the efficiency of chemical reactions for the abatement of NO_x and SO_x. …”
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Beamforming Optimization for Information Enhancement Transmission in MISO SWIPT with NOMA System by Qing Miao, Longtao Zhou, Jiongqi Wang

“…This paper mainly considers a communication network with multiple-input single-output (MISO), in which nonorthogonal multiple access (NOMA) decoding technology is adopted, and wireless power-carrying technology is used to enhance the transmission quality of user information in the communication network. Through joint optimization of power splitting ratio and beamforming vector, we aim at minimizing transmission power (base station transmit power and secondary transmit power) while satisfying the quality-of-service requirement of all users and minimum power for secondary transmission. …”
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Hydrodynamic Shape Optimization of a Naval Destroyer by Machine Learning Methods by Andrea Serani, Matteo Diez

“…By applying these ML techniques to both single- and multi-objective optimizations, aimed at minimizing resistance and enhancing seakeeping performance, the proposed framework demonstrates its practical value in hydrodynamic design. …”
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The Development of Optimal Cryopreservation Media For Longspine Scraper (Capoeta trutta) Sperm by Erdinç Şahinöz, Zafer Doğu, Faruk Aral

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Algorithms of optimization and standardization of surgical care in destructive forms of Charcott foot by K. A. Koreyba, E. P. Krivoshchekov, N. A. Lysov, L. N. Gatina, P. S. Lukin

“…The problem of standardization of foot bone lesions and regeneration of bone structures in diabetic foot syndrome has currently acquired particular relevance due to the complexity of the mechanisms of occurrence of this pathology, extended zones of lesions and resistance to the use of traditional methods of treatment.The aim of the study. Standardization and optimization of surgical care for patients with destructive form of diabetic neuroosteoarthropathy.Materials and methods. …”
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Optimizing Bi-LSTM networks for improved lung cancer detection accuracy. by Su Diao, Yajie Wan, Danyi Huang, Shijia Huang, Touseef Sadiq, Mohammad Shahbaz Khan, Lal Hussain, Badr S Alkahtani, Tehseen Mazhar

“…To explore the potential of deep learning, we also optimized and implemented a Bidirectional Long Short-Term Memory (Bi-LSTM) network for lung cancer detection. …”
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Physical-spatial Analysis of Sanandaj to Optimal Positioning of Physical Developmental of the City by Hossein Nazmfar, Anvar Amanallahpour, Ali Eshgi

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Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

“…This work proposes the use of a micro genetic algorithm to optimize the architecture of fully connected layers in convolutional neural networks, with the aim of reducing model complexity without sacrificing performance. …”
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Supply Chain Data Governance Optimization Based on Fuzzy DEMATEL-ISM by Yaoxi Liu, Jinyu Wei, Xiaoxuan Wang

“…Supply chain data governance optimization in the context of digital transformation is an emerging topic. …”
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Modelling and optimization of well hole cleaning using artificial intelligence techniques by Nageswara Rao Lakkimsetty, Hassan Rashid Ali Al Araimi, G. Kavitha

“…Traditional methods for assessing hole cleaning rely on experimental and empirical models that often fail to account for all influencing factors and lack real-time applicability. This study aims to improve the accuracy and practicality of hole cleaning assessment by applying Artificial Intelligence (AI) techniques, specifically Artificial Neural Networks (ANN) and Genetic Algorithms (GA), to predict downhole parameters and optimize drilling processes. …”
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Optimization of Braking Phase Coordinates for Energy-Efficient Operation of Pneumatic Systems by Strizhak M., Rogovyi А., Iglin S.

“…The aim of this study is to optimize the operating mode of a pneumatic system by determining the braking start and end coordinates that minimize the piston speed without the use of damping devices. …”
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