Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release by E-Ping Rau, James Gross, David Anthony Coomes, Thomas Swinfield, Anil Madhavapeddy, Andrew Balmford, Srinivasan Keshav

“…We demonstrate how we can use ex post observations of drawdowns to construct optimal release schedules that limit the risk of credit reversals (when net drawdown is negative). …”
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Unlocking the black box beyond Bayesian global optimization for materials design using reinforcement learning by Yuehui Xian, Xiangdong Ding, Xue Jiang, Yumei Zhou, Jun Sun, Dezhen Xue, Turab Lookman

“…This approach demonstrates better performance in high-dimensional spaces (D ≥ 6) compared to Bayesian optimization (BO) with the Expected Improvement (EI) acquisition function through more dispersed sampling patterns and better landscape learning capabilities. …”
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Optimizing discrete dutch auctions with time considerations: a strategic approach for lognormal valuation distributions by Raja Aqib Shamim, Majid Khan Majahar Ali

“…Our objective is to attain an optimal balance between the auctioned object’s selling price and the auction duration, ultimately maximizing the auctioneer’s expected revenue per unit of time. …”
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THE OPTIMIZATION METHOD OF FUZZY AUTOMATIC CLASSIFICATION IN THE PROBLEM OF COMBINING THE ASSESSMENTS OF TRAJECTOR MEASUREMENTS IN THE RADAR SYSTEM by A. V. Khizhniak

“…The paper describes the application of the optimization method of fuzzy automatic classification in the problem of combining estimates of trajectory measurements in a radar system. …”
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Optimization model for wireless charging and power saving of smart canes for the visually impaired based on DRL by Zhaohua Ji, Cheng Xu, Jie Huang, Qinghui Zhou, Tao Yang, Diyi Zhang, Wuchao Zheng

“…This study presents an optimization model for wireless charging and power-saving in smart canes, leveraging deep reinforcement learning (DRL). …”
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Logistics demand prediction using fuzzy support vector regression machine based on Adam optimization by Jing Quan, Yiwen Peng, Liyun Su

“…However, the FSVR-AD demonstrates superior performance, as its predictions align more closely with actual values, resulting in reduced error margins. …”
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Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation by Danhao Wang, Daogang Peng, Dongmei Huang, Huirong Zhao, Bogang Qu

“…Secondly, an enhanced DM optimized with a VAE (Variational Autoencoder) is developed. …”
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Optimal Identification for Dynamic PV Cell Parameter Based on a Data-Extension-Driven Method by Yun Long, Youfei Lu, Li Wang, Tao Bao, Chen Chen

“…To this end, this paper proposes an optimal identification method for PV dynamic parameters driven by data expansion. …”
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ARIME-DWA: Robot Path Planning Utilizing Advanced RIME Optimization and Dynamic Windows Approach by Likun Hu, Chengjie Cai

“…To overcome the limitations of insufficient optimization ability and the propensity to get stuck in local optima in the standard RIME algorithm for global path planning, an advanced RIME algorithm integrating the Artemisinin Optimization (AO) algorithm is proposed (ARIME). …”
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An Optimal Multi-Zone Fast-Charging System Architecture for MW-Scale EV Charging Sites by Sai Bhargava Althurthi, Kaushik Rajashekara

“…In this paper, a detailed review of electric vehicle (EV) charging station architectures is first presented, and then an optimal architecture suitable for a large MW-scale EV fast-charging station (EVFS) with multiple fast chargers is proposed and evaluated. …”
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Predictive ANN Modeling and Optimization of Injection Molding Parameters to Minimize Warpage in Polypropylene Rectangular Parts by Juan Luis Gámez, Amparo Jordá-Vilaplana, Miguel Angel Peydro, Miguel Angel Selles, Samuel Sanchez-Caballero

“…The study highlights the importance of accurately setting injection parameters to achieve optimal warpage results. The BPNN-based approach offers a faster and more efficient alternative to computer-aided engineering (CAE) processes for studying warpage.…”
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Optimal Configuration and Economic Study of Hybrid Energy Storage System in Wind and Solar Power Plants by Yongqian LIU, Chao LIANG, Jie YAN, Jing ZHANG

“…Therefore, it is of great significance to study the optimal configuration and conduct economic analysis of different types of ESS’s. …”
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Optimization of unmanned truck fleet scheduling in open-pit mines considering sudden equipment failures by GU Qinghua, WANG Xueqing, WANG Dan, ZHANG Pengpeng, WANG Yu

“…To reduce the impact of uncertainty and randomness of sudden equipment failures in open-pit mining equipment, taking the production equipment at the loading and unloading points in the transportation system of open-pit coal mines as the research object, an unmanned mining truck cluster scheduling model for open-pit mines considering sudden equipment failures is proposed.Firstly, an initial scheduling model is established to minimize truck transportation costs, total idle time of trucks, and maximize ore transportation volume.Secondly, considering sudden equipment failures, a rescheduling model is constructed to minimize the deviation from the objective function of the initial scheduling plan.Subsequently, an adaptive multi-objective evolutionary algorithm assisted by a surrogate model is proposed, using Kriging surrogate models to replace the truck dispatching simulation process.Finally, the method is applied to simulation with data from a domestic open-pit mine.The results show that when the transportation system is disturbed by sudden equipment failures, this method can provide a scheduling optimization adjustment plan with shorter total idle time of trucks and more ore transportation volume.…”
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A Distributed Energy Optimized Routing Using Virtual Potential Field in Wireless Sensor Networks by Haifeng Jiang, Yanjing Sun, Renke Sun, Wei Chen, Shanshan Ma, Jing Gao

“…Since data transmission typically consumes more energy than any other activities on a sensor node, it is of great importance to design energy optimized routing algorithm to achieve both energy efficiency and energy balance together, in order to prolong the network lifetime. …”
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Optimization of non-thermal plasma process to remove methyl blue towards application in wastewater treatment by Quoc Phong Ho, Nam Truong-Hoang, Thong Lam-Phuc, Thi Bich Thuyen Nguyen, Dung Nguyen-Van, Huu Ha Giang Pham, Lien Huong Huynh

“…According to the analyzed results of RSM, the experimental data is best fitted with a model of the quadratic polynomial with regression coefficient values of more than 0.9 for all responses. At optimal degradation conditions, the plasma power, liquid flow rate, air flow rate, and exposure time were 100 W, 1.5 lpm, 6 lpm, and 108.8 minutes respectively and the concentration of methyl blue was reduced to 95.8% with a concentration of 1.06 ppm. …”
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Leveraging Transfer Learning in Deep Reinforcement Learning for Solving Combinatorial Optimization Problems Under Uncertainty by Fatima Ezzahra Achamrah

“…In recent years, addressing the inherent uncertainties within Combinatorial Optimization Problems (COPs) reveals the limitations of traditional optimization methods. …”
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Optimizing the Blue Ocean Strategy to Enhance Innovation, Customer Satisfaction, and Business Performance at Cafe Camellia by Ida Ayu Gede Wiwik Purnamayanti, Ketut Gede Sri Diwya, Ida Bagus Ketut Surya Arnawa, Made Vera Kristanti Dewi

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Semantic aware intelligent optimization for IRS/UAV-enabled MEC in wideband cognitive radio networks by Wei Zheng, Pengshan Ren, Qing Li

“…The proposed semantic-aware optimization framework incorporates semantic information to achieve more efficient task scheduling and resource allocation. …”
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Optimizing Intrusion Detection in IoMT Networks Through Interpretable and Cost-Aware Machine Learning by Abdelatif Hafid, Mohamed Rahouti, Mohammed Aledhari

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State information-driven surrogate-assisted differential evolution for computationally expensive constrained optimization problems by Zihua Zhu, Zan Yang, Zhiyong Liu, Liming Chen, Xiwen Cai

“…Systematic experimental results on both the IEEE CEC2010 and CEC2017 benchmark problems demonstrate the high competitiveness of SI-SADE. More importantly, the SI-SADE performs excellently in solving a real-world case.…”
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