Improving the performance of machine learning algorithms for detection of individual pests and beneficial insects using feature selection techniques by Rabiu Aminu, Samantha M. Cook, David Ljungberg, Oliver Hensel, Abozar Nasirahmadi

“…The concept of explainable artificial intelligence was adopted by incorporating permutation feature importance ranking and Shapley Additive explanations values to identify the feature set that optimized a model's performance while reducing computational complexity. …”
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A Study of Multi-distributed Resource Equalization Allocation for Virtual Power Plants Based on Genetic-heuristic Algorithm by Haifeng Li, Tao Jin, Xian Xu, Lin Shi

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Optimization of Quantitative Financial Data Analysis System Based on Deep Learning by Meiyi Liang

“…The user interaction module obtains and displays the retrieval results through data parsing, calling the background, and computing engine. The data cleaning module fills, optimizes, and normalizes the data through business experience; the calculation engine module uses the algorithm and extracts the database information to get the similar time series and matching financial model. …”
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Modeling and Optimization of Vehicle Suspension Employing a Nonlinear Fluid Inerter by Yujie Shen, Long Chen, Yanling Liu, Xiaoliang Zhang

“…So, parameters of the suspension system including the spring stiffness and the damping coefficient are optimized by means of QGA (quantum genetic algorithm), which combines the genetic algorithm and quantum computing. …”
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Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications by Lahbib Khrissi, Mohammed Es-Sabry, Nabil El Akkad, Hassan Satori, Saad Aldosary, Walid El-Shafai

“…Data clustering is a pivotal aspect of data mining, attracting significant attention in the exploration of cluster analysis through optimization algorithms. However, challenges arise in the application of optimization-based techniques, stemming from the non-linear nature of the objective function and the complexities inherent in the search space. …”
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Improved Butterfly Optimizer-Configured Extreme Learning Machine for Fault Diagnosis by Helong Yu, Kang Yuan, Wenshu Li, Nannan Zhao, Weibin Chen, Changcheng Huang, Huiling Chen, Mingjing Wang

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Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends by Christos Kyriklidis, Aikaterini Koutouvou, Konstantinos Moustakas, Vayos Karayannis, Constantinos Tsanaktsidis

“…Artificial intelligence and nature-inspired techniques are particularly capable of searching for optimal fuels in complex optimization fields. The current study concerns a recent review of biodiesel production approaches based on evolutionary computation methods. …”
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MPPT Control Strategy of PV Based on Improved Shuffled Frog Leaping Algorithm under Complex Environments by Xiaohua Nie, Haoyao Nie

“…This work presents a maximum power point tracking (MPPT) based on the particle swarm optimization (PSO) improved shuffled frog leaping algorithm (PSFLA). …”
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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

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Directed Fuzzy Edge Graphs Under q-ROF Environment: A Framework for Optimal Pathfinding by Nazia Nazir, Tanzeela Shaheen, Wajid Ali, Md Rafiul Hassan, Mohammad Mehedi Hassan

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A Bi-criteria optimization model for adjusting the decision tree parameters by Mohammad Azad, Mikhail Moshkov

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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…Abstract In the dynamic environment of the Internet of Things (IoT), edge and cloud computing play critical roles in analysing and storing data from numerous connected devices to produce valuable insights. …”
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An optimized elliptic curve digital signature strategy for resource-constrained devices by Nawras H. Sabbry, Alla Levina

“…Abstract Ensuring robust security in resource-constrained environments, such as microcontrollers used in Unmanned Vehicle systems (UVS), poses significant challenges due to the computational and memory demands of cryptographic algorithms. …”
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An Improved Particle Swarm Optimization for Solving Bilevel Multiobjective Programming Problem by Tao Zhang, Tiesong Hu, Yue Zheng, Xuning Guo

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Approximation method of multiple consistency constraint under differential privacy by Jianping CAI, Ximeng LIU, Jinbo XIONG, Zuobin YING, Yingjie WU

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Non-variational quantum random access optimization with alternating operator ansatz by Zichang He, Rudy Raymond, Ruslan Shaydulin, Marco Pistoia

“…Abstract Solving hard optimization problems is one of the most promising application domains for quantum computers due to the ubiquity of such problems in industry and the availability of broadly applicable theoretical quantum speedups. …”
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Big Data Market Optimization Pricing Model Based on Data Quality by Jian Yang, Chongchong Zhao, Chunxiao Xing

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An Evaluation of a Metaheuristic Artificial Immune System for Household Energy Optimization by Maria Navarro-Caceres, Pramod Herath, Gabriel Villarrubia, Francisco Prieto-Castrillo, G. Kumar Venyagamoorthy

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An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection. by Mohd Sakib, Tamanna Siddiqui, Suhel Mustajab, Reemiah Muneer Alotaibi, Nouf Mohammad Alshareef, Mohammad Zunnun Khan

“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”
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Reinforcement Learning Based Quantum Circuit Optimization via ZX-Calculus by Jordi Riu, Jan Nogué, Gerard Vilaplana, Artur Garcia-Saez, Marta P. Estarellas

“…The agent, trained using the Proximal Policy Optimization (PPO) algorithm, employs Graph Neural Networks to approximate the policy and value functions. …”
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