RATIONAL COMPROMISE SEARCHING METHOD IN ONE CLASS OF MULTIOBJECTIVE OPTIMIZATION PROBLEM IN EVALUATION OF INDETERMINATE OBJECTIVES SET BY THE FUNCTIONS OF ONE VARIABLE by Oleh V. Borovyk, Liudmyla V. Borovyk, Mykola V. Krasovsky

Subjects: “…system analysis, multiobjective optimization, uncertainty of objectives, pareto region, formalization, rational compromise…”
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Bio-induced overproduction of heterocycloanthracin-like bacteriocin in Lysinibacillus macroides by Aspergillus austroafricanus: optimization of medium conditions and evaluation of... by Philomena Edet, Maurice Ekpenyong, Atim Asitok, David Ubi, Cecilia Echa, Uwamere Edeghor, Sylvester Antai

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Optimization of Mixed-Integer Non-Linear Electricity Generation Expansion Planning Problem Based on Newly Improved Gravitational Search Algorithm by F .J. Ardakani, M. M. Ardehali

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Enhanced Dynamic Expansion Planning Model Incorporating Q-Learning and Distributionally Robust Optimization for Resilient and Cost-Efficient Distribution Networks by Gang Lu, Bo Yuan, Baorui Nie, Peng Xia, Cong Wu, Guangzeng Sun

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Simulation study on the urban-rural integration circulatory mechanism system in China: Based on system dynamics model and multi-objective genetic algorithm by Gaoyang Liang, Mingqiang Xing, Jianqiang Zhao

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The Effects of Delegating the Management of Sistan's Irrigation Network to Private Sector Operators and Government Agencies by Mahmood Mohamadghasemi, Ali Sardar Shahraki

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Quantitative estimation of fuzzy crisis management by О. V. German, М. V. Kuznetsov

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Optimized Two-Stage Anomaly Detection and Recovery in Smart Grid Data Using Enhanced DeBERTa-v3 Verification System by Xiao Liao, Wei Cui, Min Zhang, Aiwu Zhang, Pan Hu

“…This study presents an optimized two-stage anomaly detection and recovery system combining an enhanced TimerXL detector with a DeBERTa-v3-based verification and recovery mechanism. …”
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Risk management system and intelligent decision-making for prefabricated building project under deep learning modified teaching-learning-based optimization. by Huazan Liu, Yukang He, Qichao Hu, Jianfei Guo, Lan Luo

“…This study establishes a model of prefabricated building project risk management system based on the Modified Teaching-Learning-Based-Optimization (MTLBO) algorithm and a prediction model of deep learning multilayer feedforward neural network (Backpropagation, BP neural network) to improve the requirements of risk management during the construction of large prefabricated building projects. …”
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Fractional-Order System Identification: Efficient Reduced-Order Modeling with Particle Swarm Optimization and AI-Based Algorithms for Edge Computing Applications by Ignacio Fidalgo Astorquia, Nerea Gómez-Larrakoetxea, Juan J. Gude, Iker Pastor

Subjects: “…fractional-order systems…”
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Master–Slave Game Optimization Scheduling of Multi-Microgrid Integrated Energy System Considering Comprehensive Demand Response and Wind and Storage Combination by Hongbin Sun, Hongyu Zou, Jianfeng Jia, Qiuzhen Shen, Zhenyu Duan, Xi Tang

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An integrated geographic information system (GIS) and analytical hierarchy process (AHP)-based approach for drone-optimized large-scale flood imaging by Muhammad Farhan Nazir, Salman Atif, Ejaz Hussain

“…This study addresses these limitations by introducing the drone-optimized flood risk map (DOFRM) framework, integrating drones with geographic information systems (GIS) and multi-criteria decision model to prioritize survey areas. …”
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Fractional Order Memristor No Equilibrium Chaotic System with Its Adaptive Sliding Mode Synchronization and Genetically Optimized Fractional Order PID Synchronization by Karthikeyan Rajagopal, Laarem Guessas, Anitha Karthikeyan, Ashokkumar Srinivasan, Girma Adam

“…An adaptive sliding mode control algorithm is derived to globally synchronize the identical fractional order memristor systems and genetically optimized fractional order PID controllers are designed and used to synchronize the FOMNE systems. …”
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Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting by Chun‐Yao Lee, Edu Daryl C. Maceren

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Mathematical and Machine Learning Innovations for Power Systems: Predicting Transformer Oil Temperature with Beluga Whale Optimization-Based Hybrid Neural Networks by Jingrui Liu, Zhiwen Hou, Bowei Liu, Xinhui Zhou

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Hybrid Electro Search with Ant Colony Optimization Algorithm for Task Scheduling in a Sensor Cloud Environment for Agriculture Irrigation Control System by Murali Subramanian, Manikandan Narayanan, B. Bhasker, S. Gnanavel, Md Habibur Rahman, C. H. Pradeep Reddy

“…Electro search and the ant colony optimization algorithm are combined in the proposed method. …”
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Retracted: Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation by null Complexity

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A Hybrid Approach for Reachability Analysis of Complex Software Systems Using Fuzzy Adaptive Particle Swarm Optimization Algorithm and Rule Composition by Nahid Salimi, Seyfollah Soleimani, Vahid Rafe, Davood Khodadad

Subjects: “…fuzzy adaptive particle swarm optimization…”
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Optimized frequency stabilization in hybrid renewable power grids with integrated energy storage systems using a modified fuzzy-TID controller by Mohamed Khamies, Ahmed H. A. Elkasem, Salah Kamel, Mohamed Hashem

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Max–Min Secrecy Rate and Secrecy Energy Efficiency Optimization for RIS-Aided VLC Systems: RSMA Versus NOMA by Omar Maraqa, Sylvester Aboagye, Majid H. Khoshafa, Telex M. N. Ngatched

“…These capabilities strengthen the confidentiality and security of VLC systems. This paper presents a comprehensive study on the joint optimization of VLC access point (AP) power allocation, RIS association, and RIS elements orientation angles for secure VLC systems, while considering rate-splitting multiple access (RSMA) and power-domain non-orthogonal multiple access (NOMA) schemes. …”
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