An analysis of unconventional grid sizes for wind farm layout optimization using a genetic algorithm by Mohandes Mohamed, Khan Salman A., Rehman Shafiqur, Al-Shaikhi Ali, Iqbal Kashif

“…Due to the sheer complexity of the problem, evolutionary and swarm intelligence algorithms have been employed for wind farm layout optimization. …”
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Charge State Estimation of Power Battery Based on CARMA Model by HUANG Yusha, CHEN Yushan, QIN Linlin, SHI Chun, WU Gang

“…In this paper, based on the second-order RC equivalent circuit model, a controlled auto regressive moving average (CARMA) of the battery was established. The optimal estimation of open circuit voltage (OCV) is derived from the CARMA model, and battery SOC estimation is realised by OCV-SOC segmentation model. …”
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Uneven air gap optimization of synchronous machine with permanent rotor magnets by V. V. Kharlamov, Yu. V. Moskalev, A. Yu. Milutin, A. P. Popov

“…The calculation of the magnetic field of an electric machine model with the specified geometric dimensions and properties of the element materials is performed in the FEMM program. To solve the optimization problem, the Hook-Jeeves method is used, restrictions are taken into account by the method of penalty functions. …”
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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

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Optimization of Abdominal Cavity Limitation Method for Prolongation of Peritoneal Dialysis in Experiment by Kebkalo A., Hrianyla V., Reiti A., Yatsyk I.

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Hybrid DWT NLM method with NOA optimization for ECG signal denoising by Wen Chen, Yuanfang Zhang, Kaimin Yu, Chufeng Huang, Peibin Zhu, Qihui Wu, Jianzhong Hao

“…This study presents a Nutcracker Optimization Algorithm (NOA) - enhanced DWT+NLM framework. …”
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Coordinated Jamming and Poisoning Attack Detection and Mitigation in Wireless Federated Learning Networks by Sofia Barkatsa, Maria Diamanti, Panagiotis Charatsaris, Stefanos Voikos, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

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EG-DPoS: Optimized DPoS Consensus Algorithm Based on Evolutionary Game by LIU Yong, DENG Xiaohong, LIU Lihui, SHI Yiran, ZHANG Li

“…Aiming at the problems of low enthusiasm among voting nodes, bribery from malicious nodes, and the vulnerability of sequential block generation by agent nodes in the delegated proof of stake (DPoS) consensus process, an optimized DPoS consensus algorithm based on evolutionary game theory (EG-DPoS) is proposed. …”
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Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance by Vipan Kusla, Gurbinder Singh Brar, Harpreet Kaur, Ramandeep Sandhu, Chander Prabha, Md. Mehedi Hassan, Shahab Abdulla, Md Rittique Alam, Samah Alshathri, Walid El-Shafai

“…For nine different simulation scenarios, the proposed algorithm mCSAMWL outperforms the Atom Search Optimization (ASO), Hybrid Particle Swarm Optimization and Grey Wolf Optimization (PSO-GWO), Bald Eagle Search Algorithm (BES), the African Vulture Optimization Algorithm (AVOA), and the Chameleon Swarm Algorithm (CSA) in terms of average energy consumption and total energy consumption by 50.9%, 52.6%, 45%, 42.4%, 50.1% and 51.4%, 53.3%, 45.6%, 42.4%, 50.7%.…”
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Routing optimization method based on GPCR for vehicular Ad Hoc network by Zhiru GU, Min LI, Yonghong LONG, Xiaohua SHU, Qing RONG

“…To improve the performance in sparse networks,local optimum,and routing loop in the greedy perimeter coordinator routing (GPCR) protocol,the weighted-GPCR (W-GPCR) protocol was proposed.The relationship between vehicle node routing and other parameters such as the Euclidean distance between node pairs,moving direction and density was profoundly analyzed,the composite parameter weighted model was established and the calculation method was designed for the existing routing problems,the weighted parameter ratio was selected adaptively in different scenarios,so as to obtain the optimal next-hop relay node.In order to verify the performance of the W-GPCR method,the proposed method was compared with the existing methods such as the traditional geographic perimeter stateless routing (GPSR) protocol,GPCR and so on,and the results show that the proposed method is superior to the package delivery ratio,end-to-end delay,and average hop count.…”
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Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment by Fatemeh Arvaneh, Faraneh Zarafshan, Abbas Karimi

“…The primary advantage of these algorithms lies in their ability to optimize functions without the need for stringent restrictions, allowing adaptability to various linear, nonlinear, continuous, or discrete problems. …”
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The Improved Antlion Optimizer and Artificial Neural Network for Chinese Influenza Prediction by Hongping Hu, Yangyang Li, Yanping Bai, Juping Zhang, Maoxing Liu

“…Therefore, the proposed IALO is an effective and efficient algorithm suitable for optimization problems.…”
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TSUKAMOTO FUZZY IN OPTIMIZING THE CREDITWORTHINESS ASSESSMENT PROCESS AT SAVINGS AND LOAN COOPERATIVES by Tabah Heri Setiawan, Laras Prihatini

“…In its business activities, problems often arise, namely non-performing loans which causes no turnover of funds which leads to losses. …”
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A Labor Division Artificial Gorilla Troops Algorithm for Engineering Optimization by Chenhuizi Liu, Bowen Wu, Liangkuan Zhu

“…The Artificial Gorilla Troops Optimizer (GTO) has emerged as an efficient metaheuristic technique for solving complex optimization problems. …”
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Combination treatment optimization using a pan-cancer pathway model. by Robin Schmucker, Gabriele Farina, James Faeder, Fabian Fröhlich, Ali Sinan Saglam, Tuomas Sandholm

“…In order to solve the treatment optimization problems, we combine the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithm with a significantly more scalable sampling scheme for truncated Gaussian distributions, based on a Hamiltonian Monte-Carlo method. …”
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Research on hybrid strategy Particle Swarm Optimization algorithm and its applications by Jicheng Yao, Xiaonan Luo, Fang Li, Ji Li, Jundi Dou, Hongtai Luo

“…Abstract The increasing complexity and high-dimensional nature of real-world optimization problems necessitate the development of advanced optimization algorithms. …”
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OPTIMIZING ELDERLY HEALTH THROUGH NUTRITIONAL COUNSELING EFFORTS AND EARLY DETECTION by Rindayati, Abd Nasir, Susilo Harianto, Emuliana Sulpat, Hafna Ilmy Muhalla, Sofiatun

“…The total score was averaged to obtain the mean score. Early detection through measuring body weight, cholesterol levels, blood sugar and uric acid to determine the health problems of the elderly. …”
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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…This is done through the implementation of more sophisticated model regularization techniques and automating the hyperparameter optimization process. The study intends to show how model architectural changes and optimization approaches can offer solutions to issues like overfitting and significant resource expenditure on computation and ultimately improve mushroom classification systems for efficiency and efficacy. …”
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Surrogate-based model parameter optimization in simulations of the West African monsoon by M. Fischer, P. Knippertz, C. Proppe

“…The multi-objective optimization problems are tackled through two strategies: (1) assignment of weights with uncertainties to the objectives based on expert opinion and (2) variation in these weights in order to assess their influence on the optimal values of the uncertain model parameters. …”
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ENHANCEMENT OF ARTIFICIAL IMMUNE SYSTEMS FOR THE TRAVELING SALESMAN PROBLEM THROUGH HYBRIDIZATION WITH NEIGHBORHOOD IMPROVEMENT AND PARAMETER FINE-TUNING by Peeraya THAPATSUWAN, Warattapop THAPATSUWAN, Chaichana KULWORATIT

“…Two main experiments were conducted: Experiment A identified the optimal integration points for NI within AIS, revealing that position 2 (AIS+NIpos2) improved solution quality by an average of 27.78% compared to other positions. …”
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