PROBLEMS AND PRINCIPLES OF OPTIMIZING THE SOCIO-ECONOMIC EFFECT OF THE PERSONAL INCOME TAX IN UKRAINE by I.S. Verkhovod, Y.Y. Hurbyk, Yu. Voronina, S. Izbash, T.M. Sharova

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Optimized Green Unrelated Parallel Machine Scheduling Problem Subject to Preventive Maintenance by Najat Almasarwah

“…A globally optimal solution (mathematical model) and local optimal solution (a modified Moore heuristic algorithm) are used to optimize the number of products returned early in the GUPMSP. …”
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Improved Multiverse Optimization Algorithm for Fuzzy Flexible Job-Shop Scheduling Problem by Jin-Cheng Fang, A-Feng Zeng, Shao-Feng Zheng, Wen-Di Zhao, Xu He

“…An improved multiverse optimization (IMVO) algorithm is proposed herein for the fuzzy flexible job-shop scheduling problem pertaining to the non-deterministic polynomial-time hard (NP-hard) problem. …”
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A peak-to-average power ratio reduction algorithm for OTFS systems in satellite-to-ground scenarios by SONG Qiangjian, CHEN Yumeng, ZHU Lidong

“…To enhance the PAPR suppression capability of the PTS algorithm, an improved grey wolf optimizer-based PTS algorithm, termed IGWO-PTS, was proposed to address the discrete combinatorial optimization problem, achieving a more optimal subblock partitioning scheme and better PAPR reduction. …”
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The structure and the weighted average price of working capital by M. A. Pertseva

“…The problems of developing models and methods of estimating the quality of the structure of the weighted average cost of capital and working capital of the industrial enterprise is considered, that is very important for optimal management of investments in fixed and working capital in terms of price heterogeneity, different conditions of access and market volumes source equity and debt financing.…”
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Results of expert evaluation of problems of organization of ambulatory-polyclinic assistance by E. A. Finchenko, I. V. Sharapov, O. I. Ivaninskiy, M. A. Sadovoj, L. S. Shalygina

“…An expert assessment of the organization’s problems, prospects for development and the main directions for optimizing the outpatient care were conducted among the heads of health authorities, state outpatient clinics and the oblast’s top specialists (111 experts).Results. …”
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Hybrid Support Vector Regression and Autoregressive Integrated Moving Average Models Improved by Particle Swarm Optimization for Property Crime Rates Forecasting with Economic Indi... by Razana Alwee, Siti Mariyam Hj Shamsuddin, Roselina Sallehuddin

“…Therefore, to overcome this problem, particle swarm optimization is used to estimate the parameters of the SVR and ARIMA models. …”
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Harmony Search Algorithm with Two Problem-Specific Operators for Solving Nonogram Puzzle by Geonhee Lee, Zong Woo Geem

“…Additionally, the HS model integrating an initially confirmed cell-scanning operator exhibited promising performance on specific benchmark problems. The authors think that the nonogram puzzle can be a good benchmark problem for quantum computing-based optimization in the future, and the proposed HS algorithm can also be combined with quantum computing mechanisms.…”
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Limitations of quantum approximate optimization in solving generic higher-order constraint-satisfaction problems by Thorge Müller, Ajainderpal Singh, Frank K. Wilhelm, Tim Bode

“…The ability of the quantum approximate optimization algorithm (QAOA) to deliver a quantum advantage on combinatorial optimization problems is still unclear. …”
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Optimizing the Hexagonal Fuzzy Transportation Problem With the Novel Dhouib-Matrix-TP1 Method by Souhail Dhouib, Aida Kharrat, Taicir Loukil, Habib Chabchoub

“…Transportation Problem (TP) is considered a combinatorial optimization problem, and its aim is to minimize the total transportation cost from several sources to different destinations. …”
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Optimal Parking Slots Reservation and Allocation Problem for Periodic Parking Platforms with Preference Constraints by Xianmin Song, Tianshu Zhan, Haitao Li, Bo Liu, Yunxiang Zhang, Xin Liu

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An Improved Ant Colony Optimization Based on an Adaptive Heuristic Factor for the Traveling Salesman Problem by Pengzhen Du, Ning Liu, Haofeng Zhang, Jianfeng Lu

“…The traveling salesman problem (TSP) is a typical combinatorial optimization problem, which is often applied to sensor placement, path planning, etc. …”
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Optimizing Problem-Solving in Technical Education: An Adaptive Learning System Based on Artificial Intelligence by Rommel Gutierrez, William Eduardo Villegas-Ch, Alexandra Maldonado Navarro, Sergio Lujan-Mora

“…This study proposes an adaptive learning system powered by deep learning algorithms designed to optimize problem-solving skills in technical college students. …”
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Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization by Tushnik Sarkar, Sabyasachi Gupta, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Anagha Bhattacharya, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Abstract On IEEE 30, 57, 118 & 300-bus experimental networks, this work aims to solve the optimal reactive power dispatch (ORPD) problem. Initially, the conventional network is countered, and subsequently, renewable energy sources (RESs) such as wind power (WP), solar photovoltaic (PV) sources, and hydro power (HP) are combined with the traditional network. …”
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Optimal scheduling method for multi-regional integrated energy system based on dynamic robust optimization algorithm and bi-level Stackelberg model by Bo Zhou, Erchao Li, Wenjing Liang

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Data-driven optimization for rebalancing shared electric scooters by Yanxia Guan, Xuecheng Tian, Sheng Jin, Kun Gao, Wen Yi, Yong Jin, Xiaosong Hu, Shuaian Wang

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Solving MRTA problem based on multi-strategy genetic algorithm by CHEN Haiyang, LIU Yan, DOU Wei, HUANG Qi

“…This indicates that the solution obtained by DIHA-GA is closer to the optimal solution. The average distance obtained by DIHA-GA in this article is reduced by 21.32 m and 18.73 m respectively compared to the improved ant colony optimization (IACO), and the minimum distance is reduced by 23.43 m and 22.32 m respectively. …”
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A Multi-Objective Optimization Framework That Incorporates Interpretable CatBoost and Modified Slime Mould Algorithm to Resolve Boiler Combustion Optimization Problem by Shan Gao, Yunpeng Ma

“…The combustion optimization problem of the circulation fluidized bed boiler is regarded as a difficult multi-objective optimization problem that requires simultaneously improving the boiler thermal efficiency and reducing the NOx emissions concentration. …”
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OPTIMIZATION PROBLEM FOR NUMBER OF LOGIC GATES NEEDED TO IMPLEMENT MULTIPLE BOOLEAN FUNCTIONS USING DECODER by M. Onai, H. Skopyk

“…An opportunity for their optimization was found in one of the ways to implement a circuit, which involves a decoder. …”
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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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