GIS spatial optimization for agricultural crop allocation using NSGA-II by Tipaluck Krityakierne, Pornpimon Sinpayak, Noppadon Khiripet

“…To speedup the convergence of the algorithm, we introduce more suitable crossover and mutation operators in NSGA-II, aiming to direct the search towards the Pareto optimal solutions. …”
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Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment by Antonio Arauzo-Azofra, Jose Molina-Baena, Maria Luque-Rodriguez

“…We applied a genetic algorithm to optimize feature selection and classification performance. …”
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Optimizing Multi-Echelon Delivery Routes for Perishable Goods with Time Constraints by Manqiong Sun, Yang Xu, Feng Xiao, Hao Ji, Bing Su, Fei Bu

“…The results demonstrate that the initial solutions obtained through the k-medoids clustering algorithm based on spatio-temporal distance improved the overall cost optimization by 1.85% and 4.74% compared to the other two algorithms. …”
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Optimization of a macro-algae-based biodiesel supply chain: a multi-objective approach by Prajwal Panwar, Anubhav Pratap Singh, Anand Chauhan, Ritu Arora

“…The proposed multi-objective optimization model is implemented using the Genetic Algorithm. …”
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Dynamic appliance scheduling and energy management in smart homes using adaptive reinforcement learning techniques by Poonam Saroha, Gopal Singh, Umesh Kumar Lilhore, Sarita Simaiya, Monish Khan, Roobaea Alroobaea, Majed Alsafyani, Hamed Alsufyani

“…These dynamics are difficult for traditional systems to handle, but new developments in reinforcement learning and optimization may be able to help. The paper introduces a novel Demand Response (DR) method that integrates a Self-Adaptive Puma Optimizer Algorithm (SAPOA) with a Multi-Objective Deep Q-Network (MO-DQN), improving smart home energy consumption, cost, and user preferences management. …”
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Optimization of multi-user scheduling in WPCNs by Lina Yuan, Huajun Chen, Tingsui Liu, Ging Gong

“…MATLAB simulations demonstrate that our algorithm outperforms traditional methods, reducing total energy consumption by 25% while increasing network throughput by 15%. …”
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Hybridization and Optimization of Bio and Nature-Inspired Metaheuristic Techniques of Beacon Nodes Scheduling for Localization in Underwater IoT Networks by Umar Draz, Tariq Ali, Sana Yasin, Muhammad Hasanain Chaudary, Muhammad Ayaz, El-Hadi M. Aggoune, Isha Yasin

“…The hybridization techniques such as Elephant Herding Optimization (EHO) with Genetic Algorithm (GA), Firefly Algorithm (FA), Levy Firefly Algorithm (LFA), Bacterial Foraging Algorithm (BFA), and Binary Particle Swarm Optimization (BPSO) are used for optimization. …”
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Metaheuristic Optimization of Wind Turbine Airfoils with Maximum-Thickness and Angle-of-Attack Constraints by Jinane Radi, Jesús Enrique Sierra-García, Matilde Santos, Carlos Armenta-Déu, Abdelouahed Djebli

“…The drag and lift coefficients are estimated, and a metaheuristic optimization technique, genetic algorithm, is applied to maximize the glide ratio while reducing the difference from the desired design parameters. …”
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The Construction of an Universal Linearized Control Flow Graph for Static Code Analysis of Algorithms by V. A. Bitner, N. V. Zaborovsky

“…The practical usefulness of the graph considered is the existence of the fast and optimal search of the unique execution paths that is valuable in the methods of static code analysis of algorithms for race condition search. …”
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IoT driven healthcare monitoring with evolutionary optimization and game theory by Shitharth Selvarajan, Hariprasath Manoharan, Taher Al-Shehari, Nasser A. Alsadhan, Subav Singh

“…By incorporating two evolutionary algorithms, the proposed approach optimizes the state of action for each participant while reducing energy consumption and processing delay. …”
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Multi-objective layout optimization of hospital outpatient clinics based on NSGA II by Yanlin Zhao, Jiamei Gu

“…Abstract This study utilizes an improved NSGA-II algorithm to conduct a multi-objective optimization of the hospital outpatient department layout. …”
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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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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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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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An improved multi-objective particle swarm optimization algorithm for the design of foundation pit of rail transit upper cover project by Jinyan Shao, Yuan Lu, Yi Sun, Lei Zhao

“…The algorithm retains the basic convergence mechanism of particle swarm optimization (PSO) as its core, while innovatively combining the fast non-dominated sorting technique to effectively evaluate and approximate the Pareto optimal solution set. …”
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