Multi-objective optimization of a novel control algorithm and scheduling procedure for optimal use of energy storage systems by Amirhossein Hamzeiyan, Armin Ebrahimi

“…Peak shaving with energy storage systems (ESSs) is a promising approach to optimize energy use, reduce costs, and ensure a more reliable power grid.This paper aims to improve the performance of a novel control algorithm for efficient peak shaving by using sensitivity analysis and multi-objective optimization techniques. …”
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Gait Optimization Method for a Large Heavy Load Biped Robot Based on Particle Swarm Optimizer Algorithm by Huanhuan Ren, Xuanji Guo, Mingzhibo He, Chengshuai Ma, Chengzhi Su

“…This optimization is grounded in the principles of the Zero Moment Point (ZMP), with the ultimate aim of maximizing the stability margin. …”
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Optimization and bioactive evaluation of corn silk incorporated carrot banana smoothie using d-optimal mixture design by Ankita Sharma, Mahendra Gunjal, Prasad Rasane, Sawinder Kaur, Shailesh Kumar Singh, Sezai Ercisli, Jyoti Singh

“…Using a Design expert (d-optimal design, 17 smoothie formulations were tested, with the optimized solution containing 6.84 g corn silk powder, 28.15 g carrot, and 35 g banana. …”
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Blockchain asset portfolio optimization with proportional and fixed transaction fees by Liyuan Zhang, Limian Ci, Yonghong Wu, Benchawan Wiwatanapataphee

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Optimal investment based on performance measure with a stochastic benchmark by Chengjin Tang, Jiahao Guo, Yinghui Dong

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Optimal investment game for two regulated players with regime switching by Lin Xu, Linlin Wang, Hao Wang, Liming Zhang

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Optimal investment and reinsurance for the insurer and reinsurer with the joint exponential utility by Wuyuan Jiang, Zechao Miao, Jun Liu

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An age-dependent hybrid system for optimal contraception control of vermin by Xin Yi, Rong Liu

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Optimal sizing and siting of energy storage systems based on power grid vulnerability analysis: a trilevel optimization model by Zhenghui Zhao, Yingying Shang, Buyang Qi, Yang Wang, Qian Zhang

“…The middle-level employs an improved particle swarm optimization algorithm to determine the optimal capacity and power configuration of BESS, aiming to maximize its equivalent annual revenue. …”
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Joint Optimization of Computation Offloading and Task Scheduling Using Multi-Objective Arithmetic Optimization Algorithm in Cloud-Fog Computing by Asad Ali, Nazia Azim, Mohamed Tahar Ben Othman, Ateeq Ur Rehman, Masoud Alajmi, Mosleh Hmoud Al-Adhaileh, Faheem Ullah Khan, Mamyrbayev Orken, Habib Hamam

“…To this end, we propose a Multi-objective Arithmetic Optimization-based joint computation offloading and task scheduling algorithm, aiming to minimize energy consumption and transmission latency. …”
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A PERFORMANCE-BASED APPROACH TO AIRSPACE OPTIMIZATION USING WIND-OPTIMAL TRACKS NETWORK IN HO CHI MINH FIR by Ngoc Hoang Quan NGUYEN, Minh Hoang LE, Trinh Binh DINH, Phuc Ky NGUYEN, Thu Thao NGUYEN, Toan Thinh LE, Van Tien Son NGUYEN, Hoang Vu NGUYEN

“…Therefore, numerous approaches have been taken to cope with this, including optimal models - an effective approach to addressing airspace congestion issues worldwide. …”
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Prediction of Fading for Painted Cultural Relics Using the Optimized Gray Wolf Optimization-Long Short-Term Memory Model by Zhen Liu, An-Ran Zhao, Si-Lu Liu

“…For the purpose of investigating the color fading mechanism of pigments, we propose a color fading time series model using a combined long short-term memory recurrent neural network modified by the gray wolf optimization algorithm (GWOAD-LSTM). First, the general gray wolf algorithm was scaled up to two dimensions and combined with an LSTM model for optimal parameter search. …”
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Sentiment Analysis of X Application Users on Bitcoin Using the Naïve Bayes Method Optimized with Particle Swarm Optimization (PSO) by Raja Allifin Muhammad, Elin Haerani, Fitri Wulandari, Lola Oktavia

“…Advancements in technology and social media have significantly transformed the way individuals express their opinions—one of which is toward decentralized digital currencies that utilize blockchain technology to enable peer-to-peer transactions, such as Bitcoin. This study aims to evaluate user sentiment toward Bitcoin by implementing the Naïve Bayes method optimized with Particle Swarm Optimization (PSO), using data gathered from the X application (formerly Twitter). …”
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Minimizing Real Power Losses Via Optimal Reactive Power Allocation and Distributed Generation Using Grey Wolf Optimizer by Bahaa Hussein Al IGEB, Petr P. Oschepkov, Mazin T Muhssin, Murtadha AL-KAABI, Ali abdulazeez, Saad K. Khalaf Khalaf

“…This paper aims to minimize the real power losses, improve the voltage profiles, and enhance the voltage stability index on distribution networks by adding distributed generators and shunt capacitors with the optimal size. …”
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Hybrid optimization method for optimal site selection and sizing of a hybrid photovoltaic water pumping/diesel/battery system by Akbar Maleki, Fatemehzahra Heydari, Ali Jabari Moghadam

“…Key geographical and climatic criteria are used for optimal site selection across different sites. Following this, technical and economic optimization of the hybrid energy scheme is conducted with the aim of maximizing reliability and minimizing costs to meet the water requirements for a 12-ha grain field and a household. …”
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Improved Runge Kutta Optimizer with Fitness Distance Balance-Based Guiding Mechanism for Global Optimization of High-Dimensional Problems by Çağrı Suiçmez, Hamdi Kahraman, Cemal Yılmaz, Enes Cengiz

“…Runge Kutta (RUN) is an up-to-date and well-founded metaheuristic algorithm. The RUN algorithm aims to find the global best in solving problems by going beyond the traps of metaphors. …”
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Optimizing ML models for cybercrime detection: balancing performance, energy consumption, and carbon footprint through multi-objective optimization by Romil Rawat

“…Abstract This study aims to enhance computational performance while minimizing environmental impact in AI (Artificial Intelligence) and ML (Machine Learning) applications, especially in cybersecurity, by developing energy-efficient models using a multi-objective optimization approach. …”
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Optimized prediction of diabetes complications using ensemble learning with Bayesian optimization: a cost-efficient laboratory-based approach by Dapeng Yan, Xiaohan Li, Yifan Wang, Zhikuang Cai

“…Early prediction of these complications is critical for timely intervention, yet existing models often rely heavily on clinical indicators while underutilizing fundamental laboratory test parameters. This study aims to bridge this gap by leveraging the 12 most frequently tested laboratory indicators in diabetic patients to develop an optimized predictive model for diabetes complications.MethodsA comprehensive dataset was established through meticulous data collection from a high-volume tertiary hospital, followed by extensive data cleaning and classification. …”
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Optimization of electric power wireless communication technology by Xunwei ZHAO, Jie BAI, Gaoquan DING, Liyu XIANG

“…An optimized design for improving spectral efficiency was given for the case where the power wireless private network in the 230 MHz band continuously allocates carriers.By canceling the reserved guard band between carriers,continuous subcarrier frequency domain resource mapping,adaptive FFT and filtering processing were used,which reduced the amount of computation and improves the service rate.Aiming at the problem of unification of two technical standards of 230 MHz power wireless private network,the necessity and the preliminary analysis of the mature terminal and system equipment industry chain of public network were given.…”
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Optimization of electric power wireless communication technology by Xunwei ZHAO, Jie BAI, Gaoquan DING, Liyu XIANG

“…An optimized design for improving spectral efficiency was given for the case where the power wireless private network in the 230 MHz band continuously allocates carriers.By canceling the reserved guard band between carriers,continuous subcarrier frequency domain resource mapping,adaptive FFT and filtering processing were used,which reduced the amount of computation and improves the service rate.Aiming at the problem of unification of two technical standards of 230 MHz power wireless private network,the necessity and the preliminary analysis of the mature terminal and system equipment industry chain of public network were given.…”
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