Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning by Shaoxuan Sun, Hongyu Zheng, Zhixin Lin

“…The research effectively addresses the vanishing gradient problem by replacing the traditional Rectified Linear Unit (ReLU) activation function with Leaky ReLU, while simplifying the network structure through the use of a Global Average Pooling layer to reduce model complexity. …”
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Robust optimization of multi-regional truck scheduling for China-ASEAN cross-border container drayage by Jie He, Zhiming Fang, Xintong Yan, Yuntao Ye, Hao Zhang, Changjian Zhang

“…To further describe and optimize the cross-border container drayage between China and the Association of Southeast Asian Nations (ASEAN), this paper studies a multi-regional container drayage problem under travel time uncertainty (MR-CDP-TTU), where multi-regional truck participation and travel time uncertainty are simultaneously considered. …”
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Optimizing Urban Intersection Management in Mixed Traffic Using Deep Reinforcement Learning and Genetic Algorithms by Jiajun Shen, Yu Wang, Haoyu Wang, Guanyu Fu, Zhipeng Zhou, Jingxin Dong

“…This study aims to optimize lane configurations at urban intersections within mixed traffic environments, integrating both Connected Autonomous Vehicles (CAVs) and Human-driven Vehicles (HVs). …”
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Multiobjective Route Optimization for Multimodal Cold Chain Networks Considering Carbon Emissions and Food Waste by Yong Peng, Yali Zhang, Dennis Z. Yu, Yijuan Luo

“…Additionally, we benchmark our algorithm against the existing literature to showcase its efficiency in solving high-dimensional multi-objective route optimization problems. Furthermore, we investigate the impact of different parameters, such as carbon tax rates, temperature, and cargo activation energy, on carbon emissions, and food waste. …”
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Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization by Muhammad Suhail Shaikh, Chang Wang, Senlin Xie, Gengzhong Zheng, Xiaoqing Dong, Shuwei Qiu, Mohd Ashraf Ahmad, Saurav Raj

“…A mathematical model for the WSN coverage and connectivity optimization problem is developed as the foundation. …”
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Computation Offloading Strategy Based on Improved Polar Lights Optimization Algorithm and Blockchain in Internet of Vehicles by Yubao Liu, Bocheng Yan, Benrui Wang, Quanchao Sun, Yinfei Dai

“…The rapid growth of computationally intensive tasks in the Internet of Vehicles (IoV) poses a triple challenge to the efficiency, security, and stability of Mobile Edge Computing (MEC). Aiming at the problems that traditional optimization algorithms tend to fall into, where local optimum in task offloading and edge computing nodes are exposed to the risk of data tampering, this paper proposes a secure offloading strategy that integrates the Improved Polar Lights Optimization algorithm (IPLO) and blockchain. …”
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HP-ECD: Heuristic Prophet protocol based on energy balance,cache optimization, and asynchronous dormancy by Jingjian Chen, Pengfei Bie, Jie Nie, Zhiqiang Wei

“…To better solve these problems, this paper proposes HP-ECD: heuristic Prophet routing protocol based on energy balance, cache optimization, and asynchronous dormancy. …”
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Test Study on Combustion Adjustment of 330 MW Circulating Fluidized Bed Boiler by Xianbin SUN, Feng QI, Yizhen XIN, Wenjie YUAN, Yongxiang GAO, Ruping HAO, Lintao CAO, An GUO

“…Combustion optimizing adjustment test was carried out to solve these problems. …”
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Penentuan Lokasi Optimal Stasiun Bike Sharing Dalam Mendukung Pariwisata di Kota Surakarta by Muhammad Rizal Fernandita Pamungkas, Wartono Wartono, Danarti Karsono, Elisa Harlia Sandi, Allesandro Umbu Balla Rundi

“…The increase in tourists has added to the problem of congestion and carbon emissions so that a sustainable mobility solution is needed. …”
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Optimizing the orientation of the open spaces and building constructions for cold climate based on sunshine in borujerd city

“…This study aimed to evaluate the climatic conditions for the establishment of Borujerd city in the design of buildings and streets of the city with an emphasis on radiant energy, an attempt to reduce problems related to cold climate is that in order to achieve this goal of data synoptic station in the city of Boroujerd a period of 23 years, including temperature, precipitation, relative humidity and other parameters as maximum, minimum and average is used. …”
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Optimization Algorithm of Communication Resource Allocation in a Complex Network Based on an Improved Neural Network by Haomiao Zhang, Qing Liu

“…Increase inertia improves the traditional BP neural network algorithm, using the average path length, clustering coefficient, and connectivity distribution index analysis of the complex network; the improved Hopfield neural network is utilized to confirm each user volume size; it is concluded that their users are able to get the number of subchannels, through the instantaneous channel coarse pair gain dynamic channel allocation, calculating bit load matrix at the same time, minimize transmission power, and achieve bit loading and power allocation and communication resource allocation optimization. …”
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ENHANCED MULTI-OBJECTIVE GREY WOLF OPTIMIZATION USING ADAPTIVE DIVERSITY TUNING AND LEVY FLIGHTS by Peter ASIGRI, Emmanuel Asuming FRIMPONG, Emmanuel Kwaku ANTO, Daniel KWEGYIR, Francis Boafo EFFAH

“…Using MATLAB and Python library Pymoo, the study implemented and evaluated the performance of EMOGWO-ADTLF using multi-objective test problems. The results were compared to high-performing algorithms like MOGWO, Non-Dominated Sorting Grey Wolf Optimizer (NSGWO), Dynamic Chaos MOGWO (DCMOGWO), Multi-Objective Mayfly Algorithm (MMA), Multi-Objective Antlion Algorithm (MOALO) and Multi-Objective Dragonfly Algorithm (MODA). …”
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A Low Complexity Near-Optimal Detector Based on Teaching-Learning Algorithm for Massive MIMO by Hamid Amiriara, Mohammadreza Zahabi

“…The TLBO algorithm, as one of the advanced methods of intelligence, is very useful for large-scale problems. Therefore, we use this method to search for the optimal solution vector in the modulation alphabet. …”
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Mitigating Selection Bias in Local Optima: A Meta-Analysis of Niching Methods in Continuous Optimization by Junchen Wang, Changhe Li, Yiya Diao

“…As mainstream solvers for black-box optimization problems, evolutionary computation (EC) methods struggle with finding desired optima of lower attractiveness. …”
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ON THE PROBLEM OF WATER TEMPERATURE INFLUENCE ON SEASONAL GROWTH OF JUVENILE COHO SALMON ONCORHYNCHUS KISUTCH IN THE LOWER REACHES OF THE BOLSHAYA RIVER IN 2007–2018 by V. F. Bugaev, N. A. Rastyagaeva, T. N. Travina

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Wave Prediction Error Compensation and PTO Optimization Control Method for Improving the WEC Power Quality by Tianlong Lan, Jiarui Wang, Luliang He, Peng Qian, Dahai Zhang, Bo Feng

“…In order to solve the above-mentioned problems, this paper presents a model predictive control (MPC) method composed of a prediction error compensation controller and a PTO optimization controller. …”
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Optimization of production layout, production process, and supply of materials to increase work productivity in Saramanta homemade by Ratih Setyaningrum, Firlinda Kirana Erthamevia, Sofi Dwi Febriana, Ananda Viona Islamay Setyanti

“…Therefore, researchers use the EFD, SLP, and SCOR methods to solve these problems. The EFD method is used to design an ergonomic work desk with dimensions l = 1610mm, w = 710mm, and h = 1020mm so that it can reduce musculoskeletal complaints as evidenced by a RULA value of 2. …”
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Integration of electric vehicle charging stations with distributed generation using multi-objective metaheuristic optimization by Aya Desoky Gaber, E.M. Abdallah, M.I. Elsayed, Ahmed Abdelbaset

“…This paper uses a multi-objective optimization approach metaheuristic algorithm, specifically the Whale Optimization Algorithm (WOA), Zebra Optimization Algorithm (ZOA), and Puma Optimization Algorithm (POA), to determine the optimal size and placement of DG units in the presence of EVCS. …”
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The Optimal Design of an Inclined Porous Plate Wave Absorber Using an Artificial Neural Network Model by Senthil Kumar Natarajan, Seokkyu Cho, Il-Hyoung Cho

“…These features have been optimized to minimize the averaged reflection coefficient and the installation space (spatial footprint) with the application of a trained ANN model. …”
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FLDQN: Cooperative Multi-Agent Federated Reinforcement Learning for Solving Travel Time Minimization Problems in Dynamic Environments Using SUMO Simulation by Abdul Wahab Mamond, Majid Kundroo, Seong-eun Yoo, Seonghoon Kim, Taehong Kim

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