Fuel Costs Optimization for Long-Haul Flight with Refueling Layovers by Chartchai Leenawong, Amarita Ritthipakdee

“…The proposed solution used a 0-1 mixed-integer linear programming (MILP) model, supported by auxiliary variables, to effectively manage the constraints of this optimization problem. The MILP model also considered differences in fuel costs at refueling points, including the departure airport. …”
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Insights into Optimal Schemes of Radial Network Arch Pedestrian Bridge by Rimantas Belevičius, Dainius Rusakevičius, Saulius Valentinavičius

“…Our findings are: the optimal ratio of arch rise to the bridge span is 0.20–0.30, the number of hangers is >40 even for the shortest spans, the spread angle between hangers is 30°–40°, and the girder mass amounts to ∼30% of the total bridge mass, while the mass of hangers amounts up to 20% and increases when imposing constraints on the minimal radius at the expense of diminishing arch mass.…”
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Planning and optimization models in ready-made concrete production and logistics by Mykhailo Buhaievskyi, Yuri Petrenko

“…This study addresses a multi-criteria decision support problem for the effective management of ready-mix concrete production and delivery planning. …”
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Optimal Design of the Feeder-Bus Network Based on the Transfer System by Lianbo Deng, Wei Gao, Yanbing Fu, Wenliang Zhou

“…This paper studied the classic feeder-bus network design problem (FBNDP), which can be described as follows: for the passenger travel demand between rail stations and bus stops on a given urban transit network, it designs the optimal feeder bus routes and frequencies so as to minimize the passengers’ travel expense and the operator’s cost. …”
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Optimizing UAV performance with IoT and fuzzy linear fractional transportation models by Samaher Al-Janabi, Nawras G. Seyhood

“…Unlike conventional path-planning methods, the proposed model leverages bio-inspired artificial intelligence (AI) algorithms and mixed-integer programming to solve multi-objective optimization problems under uncertainty. A critical feature of this platform is its ability to continuously adjust flight altitude based on real-time data, accounting for varying terrain morphology, fuel constraints, flight restrictions, and threats, thus ensuring optimal 3D trajectory planning. …”
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Comparative Analysis of Dedicated and Randomized Storage Policies in Warehouse Efficiency Optimization by Rana M. Saleh, Tamer F. Abdelmaguid

“…The considered evaluation metrics include transportation cost, average waiting time, and total tardiness, while accounting for product arrival and demand schedules, precedence constraints, and transportation expenses. Additionally, considerations such as MHE eligibility, resource requirements, and available storage locations are incorporated into the analysis. …”
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Optimal Operation of CCHP Smart Distribution Grid with Integration of Renewable Energy by Ghassan A. Bilal, Mohammed K. Al-Saadi, Ghaidaa A. Al-Sultany, Wisam Abed Kattea Al-Maliki

“…In addition, the demand response (DR) is incorporated with the optimization problem as a decision variable to shave the peak load and reduce the total system cost. …”
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A BEM Adjoint-Based Differentiable Shape Optimization of a Stealth Aircraft by Charles Thoulon, Gilbert Roge, Olivier Pironneau

“…Modern fighter aircraft have an increasing need for at least a moderate level of stealth, and the shape design must bear a part of this constraint. However, the high frequency of close range radar makes high-fidelity radar cross-section computation methods such as the boundary element method too expensive to use in a gradient-free optimization process. …”
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Inverse Neutrosophic Planar Graphs and its application in optimizing the expenditure in inter-cropping by Thempaavai J.P, Antony Crispin Sweety C

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Mixed Integer Nonlinear Programming-Based Unit Commitment of Conventional Thermal Generators Using Hybrid Evolutionary Algorithms by Syed Arslan Ali Shah, Noor Hussain Mugheri, Riaz Hussain Memon, Aamir Ali Bhatti, Muhammad Usman Keerio

“… Unit Commitment (UC) discusses the optimized generation resources (to turn on economical generators and turn off expensive generators),which are subjected to satisfy all the operational constraints. …”
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Penentuan Rute Kendaraan Heterogen Menggunakan Algoritma Insertion Heuristic by Nanda Saputra, Prima Denny Sentia, Andriansyah

“…The model is verified and tested using the optimization software. Then the constraints of the verifiable mathematical model are used as the basis for developing Insertion Heuristic (IH) algorithm. …”
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Construction of Orchard Agricultural Machinery Dispatching Model Based on Improved Beetle Optimization Algorithm by Lixing Liu, Hongjie Liu, Jianping Li, Pengfei Wang, Xin Yang

“…First, we analyze the agricultural machinery dispatching problem in the orchard area and establish its mathematical model with the objective of minimizing dispatching costs as a constraint. …”
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Surrogate-Assisted Multi-Objective Snow Goose Algorithm With Gaussian Process for Cold Chain Logistics by Jian Wu, Zong-Juan Yang, Zhi-Gang Du, Ai-Qing Tian

“…User satisfaction is quantified through two key dimensions—time window compliance, which reflects delivery punctuality, and product freshness preservation, which evaluates the maintenance of perishable goods’ quality. The optimization is conducted within essential operational constraints, such as temperature regulation, vehicle loading capacities, and specified delivery time windows. …”
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Performance Analysis and Dimensional Multi-objective Optimization for an Asymmetry 2UPS-UP Parallel Mechanism by Jian Yi, Linxian Che, Bing He, Jie Li

“…Based on the performance evaluation and workspace analysis， an expensive constrained optimization model is constructed to formulate the design problem of dimensional parameters. …”
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Grey Wolf Optimization Algorithm-Based Hybrid Energy Storage System Controller Design for Electric Vehicles by Yasin Kabalcı, Ersan Kabalcı

“…However, EVs encounter some important constraints such as inefficiency of energy consumption management, charging time, and battery range problems. …”
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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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Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm by Faris Kateb, Mahmoud Ragab, Felwa Abukhodair, Omar Ahmed Abdulkader, Louai A. Maghrabi, Sami Saeed Binyamin, Mohammed Khaled Al-Hanawi

“…The bacterial foraging optimization algorithm (BFOA) method is used for feature extraction. …”
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multi-objective mathematical model for optimizing the collection and recycling of urban waste under conditions of uncertainty(The subject of study : Karaj city) by Mohsen Bijanpoor, Reza Ehtesham Rasi, Davood Gharakhany

“…Due to the uncertainty in the parameters of the problem, the two-stage stochastic programming method has been used to model the problem. …”
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A new tree-based data aggregation method in the wireless sensor networks using Ant Colony Optimization and Cuckoo search algorithms by Shuling Yin, Jiahai Tu, Xiaoyan Chen

“…This paper introduces a new tree-based data aggregation technique, TDAC, which utilizes two popular metaheuristic algorithms, Ant Colony Optimization (ACO) and Cuckoo Search (CS), to deal with the NP-hardness of the data aggregation problem. …”
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Trade-off between computation time and solution quality for integrated generation and transmission expansion planning with N-1 security criterion by Lucas Y. Okamura, Carmen L.T. Borges, Gianfranco Chicco

“…The generation and transmission (G&T) expansion planning of large-scale systems is usually carried out hierarchically due to the high complexity of the problem. However, this hierarchical plan may be more expensive than a fully integrated (co-optimized) G&T plan that, on the other hand, requires high computation time. …”
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