Integrated decision support system for optimizing time and cost trade offs in linear repetitive construction projects by Ahmed Gouda Mohamed, Ali Hassan Ali, Ahmed Adel Abdelhady

“…Unlike previous studies that focus solely on single-algorithm applications, this research evaluates two metaheuristic optimization strategies—Genetic Algorithm (GA) and Particle Swarm Optimization (PSO)—within a consistent problem setting. …”
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Hybrid subQUBO Annealing With a Correction Process for Multi-Day Intermodal Trip Planning by Tatsuya Noguchi, Keisuke Fukada, Siya Bao, Nozomu Togawa

“…The multi-day intermodal trip planning problem (MITPP) is an optimization problem that seeks to create the optimal route to visit Point-of-Interest (POI) and hotels over days. …”
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An MINLP Optimization Method to Solve the RES-Hybrid System Economic Dispatch of an Electric Vehicle Charging Station by Olukorede Tijani Adenuga, Senthil Krishnamurthy

“…This technique bridges the gap between theoretical models and real-world implementation by balancing technical optimization with practical deployment constraints, making a timely and meaningful contribution. …”
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Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory by Guangsheng Pan, Wei Gu, Xiaogang Chen, Yuping Lu, Suhan Zhang

“…Specifically, IP focus on distributed PV integration and low carbon travels, P2H strives to improve cost competitiveness of hydrogen, and electricity-hydrogen trading prices and quantities are optimized between them. Also, GC obtains profits by charging grid fees considering power flow constraints. …”
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Queen honey bee migration (QHBM) optimization for droop control on DC microgrid under load variation by Aripriharta Aripriharta, Mochammad Syarifudin Al Rasyid, Muhammad Cahyo Bagaskoro, Irham Fadlika, Sujito Sujito, Arif Nur Afandi, Saodah Omar, Norzanah Rosmin

“…The optimization problem is addressed using two techniques: queen honey bee migration (QHBM) and particle swarm optimization (PSO). …”
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Comprehensive Feature-Driven PCOS Predictor: A Reinforcement Learning-Based Binary Equilibrium Optimization Approach by S. Reka, T. Suriya Praba, Krishna Kumar Manchala, Anna Venkateswarlu

“…In these situations, a (ML) Machine Learning-based PCOS prediction model aids in the diagnostic procedure, addresses time constraints and potential inaccuracies. A plethora of feature selection techniques have been built to discover the best optimal features for the classification of medical dataset. …”
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Optimizing Patient Engagement with Patient-Reported Outcome Measures Across the Cancer Continuum: A Qualitative Study by Eve Seraphina Qing Yi Low, See Mieng Tan, Grace Meijuan Yang, Yu Ke

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Energy-efficient blockchain-IIoT with mobile edge computing: optimizing resource allocation and multi-hop offloading by Yiyi Zhang, Xueyue Xue, Xianfu Lin, Wenchang Wei, Zhicheng Su

“…Finally, a Multi-Agent Hybrid Trust Region Policy Optimization (MAHTRPO) algorithm is proposed to optimally solve the formulated problem. …”
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Optimal Decision-making Model for Power Grid Maintenance Scheduling Considering Comprehensive Supply-Demand Factors by Hui LIU, Qianjun JIANG, Qianjin GUI, Lei WANG, Hongqiang TIAN, Jingjing WANG, Hejun YANG

“…Thirdly, a fitness optimization model is constructed based on the penalty function, and the genetic algorithm is used to solve the optimal outage decision-making problem. …”
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A Raster-Based Multi-Objective Spatial Optimization Framework for Offshore Wind Farm Site-Prospecting by Loukas Katikas, Themistoklis Kontos, Panayiotis Dimitriadis, Marinos Kavouras

“…Siting an offshore wind project is considered a complex planning problem with multiple interrelated objectives and constraints. …”
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Multi-Objective Optimization of UAV Relay Deployment for Air-to-Ground Communications via Distributed Collaborative Beamforming by Yang Yang, Xin Feng, Jing Zhang, Hongwei Yang, Tingting Zheng

“…To address this issue, this paper proposes a flexible UAV relay deployment strategy under varying network constraints. The strategy operates in two stages: it first determines the minimum number of UAVs required to guarantee received signal strength (RSS) above a predefined threshold, and then jointly optimizes the UAV positions and excitation current weights by formulating a multi-objective optimization problem (MOP). …”
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Optimization Strategies for Auto-Berthing of Unmanned Surface Vessels Using Differential Homeomorphism and the Gauss Pseudospectral Method by Zehui Zhang

“…This paper designs an optimal control strategy for the auto-berthing control (ABC) problem of underactuated surface vessels. …”
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Multiobjective Reactive Power Optimization Planning for Medium Voltage Distribution Networks Based on Improved Genetic Algorithm by Min Li, Juncheng Zhang, Jing Tan, Xiaohong Tan, Lingjie Tang

“…The balance equation between active and reactive power of power nodes and power absorption losses is taken as the equality constraint, and the maximum and minimum constraints of variables such as voltage at the generator end and tap position of the on-load tap changer are taken as the constraints of the model. …”
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Real-Time Operation Scheduling Optimization of Electric-Hydrogen Coupling System Under Multiple Time Scales by Yu FU, Xueyue PANG, Weixiong LIU, Zhikeng LI

“…By establishing a day-ahead-intraday optimization decision-making model based on model predictive control and combining the equipment operation characteristics with the grid interaction constraints, a multi-time scale scheduling optimization framework with day-ahead planning and intraday rolling adjustment was formed to provide a closed-loop optimization control strategy under multi-time scales. …”
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Incorporating Wind Power Generation And Demand Response into Security-Constrained Unit Commitment by M.H. Hemmatpour, E. Zarei, M. Mohammadian

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Optimizing the Construction Supply Chain Network Considering the Flow of Materials, Equipment, Manpower, Drawings and Technical Documents by Seyed Saeid Helli, Hadi Mokhtari, Saeed Dehnavi

“…The purpose of this article is to optimize this type of supply chain by minimizing its total costs.  …”
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Optimizing Haploidentical Hematopoietic Stem Cell Transplantation: Enhancing Outcomes in Hematologic Malignancies in Resource-Limited Settings by Owattanapanich W, Karoopongse E, Kittivorapart J, Meeudompong U, Sathapanapitagkit N, Kungwankiattichai S, Vittayawacharin P, Jianthanakanon J, Donsakul N, Bundhit R, Kongsomchit C, Poonmee N, Luangtrakool P, Warindpong T, Chamsai S, Bintaprasit W, Atakulreka S, Kunacheewa C

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Optimization of elastic elements of a damping devices for cylindrical hinges in crane-manipulating installations of mobile machines by Lagerev I.A.

“…For circular and arc elastic elements with circular and rectangular cross-section for-mulated the problems of optimal design including criterion functions and systems of geometric, technological, stiffness and strength penalty constraints. …”
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Economic planning-operation of virtual power plants including solar-biomass resources and hydrogen storage in the active distribution network based on distribution system operator... by Chengfu Sun, Chengyu Zhang

“…Moreover, the network’s AC power flow equations, and the system’s operating restrictions are the problem constraints. In the lower level model, the sitting and sizing model of renewable virtual power plant with hydrogen storage is presented. …”
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Multi-objective Optimization of Dimensional Parameter for 4-PRP_aR Parallel Mechanism by Jian Yi, Bing He, Linxian Che, Jie Li

“…A multi-objective optimization model is constructed to formulate the design problem of dimensional parameters on the maximizing radius of RETW and average transmission indices， and the fast and elitist multi-objective genetic algorithm combined with differential evolution algorithm is used to solve this problem. …”
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