Multi-Item Multiperiodic Inventory Control Problem with Variable Demand and Discounts: A Particle Swarm Optimization Algorithm by Seyed Mohsen Mousavi, S. T. A. Niaki, Ardeshir Bahreininejad, Siti Nurmaya Musa

“…While the objectives are to minimize both the total inventory cost and the required storage space, the model is formulated into a fuzzy multicriteria decision making (FMCDM) framework and is shown to be a mixed integer nonlinear programming type. In order to solve the model, a multiobjective particle swarm optimization (MOPSO) approach is applied. …”
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LPI Optimization Framework for Target Tracking in Radar Network Architectures Using Information-Theoretic Criteria by Chenguang Shi, Fei Wang, Mathini Sellathurai, Jianjiang Zhou

“…The resulting nonconvex and nonlinear LPI optimization problems associated with different information-theoretic criteria are cast under a unified framework, and the nonlinear programming based genetic algorithm (NPGA) is used to tackle the optimization problems in the framework. …”
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Optimal transmission for scalable video coded streaming in cellular wireless networks with the cooperation of local peer-to-peer network by Guangsheng Feng, Junyu Lin, Qian Zhao, Huiqiang Wang, Hongwu Lv, Bingyang Li, DongDong Su

“…To optimize the cellular and peer-to-peer transmission arrangement, we first formulate it as a mixed integer nonlinear programming problem, which becomes more complicated when the number of user equipments increases. …”
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A Reliable Approach for Solving Transmission Network Expansion Planning with Objective of Planning Cost Reduction by Yongqiu Liu

“…The optimization problem represented in this paper is a large-scale non-convex mixed integer nonlinear programming problem with multiple local minima. …”
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Reentry Trajectory Optimization for a Hypersonic Vehicle Based on an Improved Adaptive Fireworks Algorithm by Xing Wei, Lei Liu, Yongji Wang, Ye Yang

“…First, via the Chebyshev polynomial interpolation, the trajectory optimization problem with infinite dimensions is transformed to a nonlinear programming problem (NLP) with finite dimension, and the scope of angle of attack (AOA) is obtained by path constraints to reduce the difficulty of the optimization. …”
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Application of Unit Commitment with Market Pool in a Peaking Power Generation Firm in the Philippines for a Cost Reduction Case Study by Luke Rey Santillan, Kenn Brylle Senen, Robert Wamilda, Lanndon Ocampo, Rafael Seva, Reuella J. Bacalso, Alaine Liggayu

“…The case requires a solution of the mixed-integer nonlinear programming (MINLP) problem. Results show that the proposed UC-based problem yields optimal costs and the cost disparity from the current scheduling scheme is approximately at 27% which may be considered as potential cost savings. …”
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Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems by Talha Ansar, Waqar Muhammad Ashraf

“…KAN models are embedded in the optimisation framework of nonlinear programming and feasible optimal solutions are estimated, maximising thermal efficiency up to 42.17 ± 0.88 % and minimising turbine heat rate to 7487 ± 129 kJ/kWh corresponding to power generation of 500 ± 14 MW for the thermal power plant. …”
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A New Mathematical Model for Cell Layout Problem considering Rotation of Unequal Dimensions of Cells and Machines by Raheleh Alamiparvin, Esmaeil Mehdizadeh, Hamed Soleimani

“…For this purpose, a mixed nonlinear programming model was developed to solve the CLP with the minimum cost of intracellular and intercellular material flows. …”
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Robust Next-Day Scheduling of PV Generation Sources Supplying a Standalone DC Microgrid via a Semi-Definite Programming Model by Walter Gil-Gonzalez, Oscar Danilo Montoya, Luis F. Grisales-Norena, Fabio Andrade

“…The PV source operation model is formulated as a nonlinear programming (NLP) problem with the objective of minimizing daily energy losses and reducing CO2 emissions compared to diesel generators. …”
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Assessment and enhancement of transfer capability for large-scale renewable generation base transmitted by voltage source converter based high voltage direct current system by Shiyuan Chen, Shunjiang Lin, Yuerong Yang, Kaiyun Jiang, Mingbo Liu

“…To solve the bi-level optimal power flow model, the Kriging surrogate model is used to obtain the relationship between the transfer capability and the types and sizes of the reactive power compensation devices at the anticipated installation buses, and the inner-layer transfer capability assessment model is replaced with equality constraints, thereby transforming the original bi-level optimal power flow model into a single-layer mixed-integer nonlinear programming model for direct resolution. Finally, the effectiveness of the proposed model and solution method is validated using a real transmission system in South China.…”
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Partitioned Quasi-Newton Approximation for Direct Collocation Methods and Its Application to the Fuel-Optimal Control of a Diesel Engine by Jonas Asprion, Oscar Chinellato, Lino Guzzella

“…First results indicate a significantly faster convergence of the nonlinear program solver when the method proposed is used instead of the standard quasi-Newton approximation.…”
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Location Design of Electric Vehicle Charging Facilities: A Path-Distance Constrained Stochastic User Equilibrium Approach by Wentao Jing, Kun An, Mohsen Ramezani, Inhi Kim

“…A mixed-integer nonlinear program is proposed to formulate this model. …”
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Optimal Operation Scheme with Short-Turn, Express, and Local Services in an Urban Rail Transit Line by Tao Feng, Siyu Tao, Zhengyang Li

“…Then, a mixed-integer nonlinear program (MINLP) model is formulated, and linearization techniques are utilized to transform the MINLP model into a mixed-integer linear programming (MILP) model that can be easily solved by commercial optimization solvers. …”
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The Integration of Multimodal Networks: The Generalized Modal Split and Collaborative Optimization of Transportation Hubs by Yifei Cai, Jun Chen, Da Lei, Jiang Yu

“…The upper-level problem is formulated as a mixed-integer nonlinear program to achieve a modal shift from congested subnetworks to underutilized subnetworks to realize a balanced use of the entire network. …”
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A Group-Based Signal Timing Optimization Model Considering Safety for Signalized Intersections with Mixed Traffic Flows by Fen Wang, Keshuang Tang, Keping Li, Zhigang Liu, Lin Zhu

“…Then, the multiobjective optimization issue was formulated as a nonlinear program and solved by a Nondominated Sorting Genetic Algorithm. …”
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