Optimization of Production Scheduling for the Additive Manufacturing of Ship Models Using a Hybrid Method by Kyeongho Kim, Soonjo Kwon, Minjoo Choi

“…This paper introduces a hybrid optimization method that leverages either linear programming (LP) or a genetic algorithm (GA) based on the problem size to enhance the parallel additive manufacturing (AM) process for ship models. …”
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Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection by Daihong Jiang, Zhixiang Chen, Sanyou Zhang, Yunfei Li, Lu Zhao

“…The proposed model enhances the structural expressiveness of the sparse component while preserving the global low-rank structure. To solve the resulting optimization problem efficiently, we develop a tailored algorithm based on operator splitting techniques, significantly improving computational efficiency without sacrificing accuracy. …”
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Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

“…We prove that this problem has a monotonically increasing and submodular objective function and develop an efficient algorithm that achieves a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>−</mo><mstyle scriptlevel="0" displaystyle="true"><mfrac><mn>1</mn><mi>e</mi></mfrac></mstyle><mo>≈</mo><mn>0.63</mn></mrow></semantics></math></inline-formula> approximation ratio to the optimal solution. …”
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Coverage optimization of wireless sensor network utilizing an improved CS with multi-strategies by Sen-Yu Yang, Chang-Feng Chen, Kai-Qing Zhou, Yun Ou

“…For WSN coverage optimization, the ICS-MS algorithm outperforms comparative algorithms. …”
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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

“…Document Clustering has attracted the interest of many researchers who have created several solutions to this problem by combining different techniques, models, and algorithms. While famous for its simplicity, the most commonly used algorithm, K-Means, suffers from issues such as finding the optimal value for k and random initialization of the centroids. …”
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A Novel Six-Dimensional Chimp Optimization Algorithm—Deep Reinforcement Learning-Based Optimization Scheme for Reconfigurable Intelligent Surface-Assisted Energy Harvesting in Batt... by Mehrdad Shoeibi, Anita Ershadi Oskouei, Masoud Kaveh

“…The proposed 6DChOA-DRL algorithm optimizes RIS phase shifts to enhance the received power of IoT devices while mitigating interference from direct and RIS-cascaded links. …”
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Enhancing workflow efficiency with a modified Firefly Algorithm for hybrid cloud edge environments by Deafallah Alsadie, Musleh Alsulami

“…In this study, we evaluate various scheduling algorithms, emphasizing the Modified Firefly Optimization Algorithm (ModFOA) and comparing it with established methods such as Ant Colony Optimization (ACO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). …”
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Optimizing energy storage and return of prosthetic feet: A biomechanical approach using advanced optimization techniques by Aphiwat Saemua, Supakit Rooppakhun

“…This study introduces a novel design framework that combines Latin Hypercube Sampling (LHS), Kriging, and a Multi-Objective Genetic Algorithm (MOGA) to optimize weight, stiffness, and energy return. …”
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Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation by WANG Chaowei, PANG Mingliang, WANG Su, ZHAO Lingli, GAO Feifei, CUI Gaofeng, WANG Weidong

“…The system fairness was measured by a user satisfaction index and the system throughput was optimized while considering fairness. The optimization problem was modeled as a multi-objective optimization. …”
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A Comparison of the Black Hole Algorithm Against Conventional Training Strategies for Neural Networks by Péter Veres

“…R2024a, avoiding reliance on pre-optimized libraries to isolate algorithmic behavior. …”
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An Improved Maximum Power Point Tracking Control Scheme for Photovoltaic Systems: Integrating Sparrow Search Algorithm-Optimized Support Vector Regression and Optimal Regulation fo... by Mingjun He, Ke Zhou, Yutao Xu, Jinsong Yu, Yangquan Qu, Xiankui Wen

“…The sparrow search algorithm (SSA), recognized for its excellent global search capability, was employed to optimize the hyperparameters of SVR to further increase the prediction accuracy. …”
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Life cycle low-carbon capacity optimization planning of integrated energy systems in manufacturing enterprise parks by Tianyi Ma, Jianxiong Qiu, Hu Wang, Lijun Zhang, Xiaojie Lin, Yanling Wu, Hongfei Zhao, Wei Zhong, Yanxin Wang, Zitao Yu, Changhe Zhou, Jian Cheng, Liuliu Du-Ikonen, Xiaolei Yuan

“…The optimization is solved using Non-dominated Sorting Genetic Algorithm II (NSGA-II) combined with the entropy weight method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). …”
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Multistep PV power forecasting using deep learning models and the reptile search algorithm by Sameer Al-Dahidi, Hussein Alahmer, Bilal Rinchi, Abdullah Bani-Abdullah, Mohammad Alrbai, Osama Ayadi, Loiy Al-Ghussain

“…Further, RSA was benchmarked against the Whale Optimization Algorithm (WOA), Gray Wolf Optimizer (GWO), and Constrained Particle Swarm Optimization (CPSO), and consistently outperformed all three across all models in both forecasting horizons. …”
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Sustainable Mineral Processing Technologies Using Hybrid Intelligent Algorithms by Olga Shiryayeva, Batyrbek Suleimenov, Yelena Kulakova

“…The proposed control algorithm reduces chromium losses in tailings from 7.5% to 5.5%, while improving concentrate quality by 3–6%. …”
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Research on Multi-objective Shielding Intelligent Optimization Method Based on Non-dominated Sorting Genetic Algorithm NSGA-Ⅲ by WANG Mengqi, ZHENG Zheng, MEI Qiliang, PENG Chao, GAO Jing, ZHOU Yan

“…The multi-objective optimization algorithm outperforms traditional radiation shielding design methods in quickly finding a solution that meets the shielding requirements while simultaneously weighing multiple objectives, such as the dose rate, volume and weight of the shielding material. …”

Dynamical Analysis and Optimization of Combined Vibration Isolator with Time Delay by Yaowei Wang, Xiangyu Li

“…To further enhance performance, a genetic algorithm is used to optimize the control parameters under harmonic force excitation. …”
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Quantum Testing of Recommender Algorithms on GPU-Based Quantum Simulators by Chenxi Liu, W. Bernard Lee, Anthony G. Constantinides

“…This study explores the application of quantum computing in asset management, focusing on the use of the Quantum Approximate Optimization Algorithm (QAOA) to solve specific classes of financial asset recommendation problems. …”
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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…We employ a Genetic Algorithm (GA) to optimize portfolios under both criteria. …”
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A novel feature selection algorithm using decomposition based multi-objective guided honey badger algorithm (MO-GHBA) and NSGA-III by Anusha Papasani, Nagaraju Devarakonda

“…In most of the MOEAs based feature selection algorithms, more optimal solutions are obtained around the Pareto front's center because of the deficiency in selection features. …”
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GC-Faster RCNN: The Object Detection Algorithm for Agricultural Pests Based on Improved Hybrid Attention Mechanism by Bolun Guan, Yaqian Wu, Jingbo Zhu, Juanjuan Kong, Wei Dong

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