Optimal model-based insulin dosing strategy with offline and online optimization by Martin Dodek, Eva Miklovičová, Miroslav Halás

“…Mathematically, this problem can be formulated as a bivariate, mixed real-integer optimization problem. …”
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Two-stage robust planning for wind power-photovoltaic-thermal power-pumped storage-battery hybrid system by LUO Yuanxiang, FAN Lidong, WANG Yuhang, LIU Cheng, JIAO Yinghe, WANG Yunlong

“…According to the characteristics of the robust planning model, the column and constraint generation algorithm (C&CG) and strong pairwise theory are used to decompose the original problem into a major problem and sub-problem with mixed-integer linear characteristics to solve. …”
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Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Optimal Current Harmonic Mitigation by Employing Active Power Filter by Sushree Sangita Patnaik, Anup Kumar Panda

“…Conventional mathematical modeling-based approaches are incompetent to solve the electrical power quality problems, as the power system network represents highly nonlinear, nonstationary, complex system that involves large number of inequality constraints. …”
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Improved global convergence results for augmented Lagrangian method with exponential penalty function by Frank Navarro Rojas, Luis G. Ticona Quispe

“…The purpose of the present paper is to improve the global convergence results established so far concerning the Augmented Lagrangian Algorithm with exponential penalty function for solving nonlinear programming problems with equality and inequality constraints. …”
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Revisiting the joint estimation of initial pressure and speed-of-sound distributions in photoacoustic computed tomography with consideration of canonical object constraints by Gangwon Jeong, Umberto Villa, Mark A. Anastasio

“…To address this, the presented numerical studies explore the effectiveness of easy to implement canonical object constraints for stabilizing the JR problem. The considered constraints include support, bound, and total variation constraints, which are incorporated into an optimization-based method for JR. …”
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Software Project Scheduling Problem: A Review by Javad Pashaei Barbin, Mahdi Jalali

“…In SPSP, the most important element is the Resource Constrained Project Scheduling Problem (RCPSP). RCPSP involves assigning multiple tasks to limited-capacity resources under time constraints to optimize task scheduling with minimal time while satisfying and optimizing resource limitations. …”
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Multi-Static Radar System Deployment Within a Non-Connected Region Utilising Particle Swarm Optimization by Yi Han, Xueting Li, Tianxian Zhang, Xiaobo Yang

“…This paper is mainly devoted to studying the deployment problem of a multi-static radar system (MSRS) within a non-connected deployment region using multi-objective particle swarm optimization (MOPSO). …”
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Gap Functions and Algorithms for Variational Inequality Problems by Congjun Zhang, Baoqing Liu, Jun Wei

“…By generalized gap functions and generalized D-gap functions, we give global bounds for the set-valued mixed variational inequality problems. And through gap function, we equivalently transform the generalized variational inequality problem into a constraint optimization problem, give the steepest descent method, and show the convergence of the method.…”
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Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm by Shaoming ZHANG, Siqing SHENG

“…The elite reverse learning strategy and the worst particle exclusion method are introduced into particle swarm optimization algorithm (Particle Swarm Optimization, PSO) to solve the multi-objective and multi-constraint optimal operation problems of microgrid. …”
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Technical framework and empirical analysis of resource and environmental carrying capacity evaluation in karst regions under the constraint of ecological civilization by Wei Yang, Wei Yang, Xiaohua Li, Xiaohua Li, Yuchi Yang, Yuchi Yang

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A New Method for Solving Quadratic Fractional Programing Problems by Mediya B. Mrakhan, Basiya K.Abdulrahim, Rzgar F. Mahmood, Aram Bajalan, Shwan Adnan Ali

“… In this article, the given algorithms were expanded and a methodology was developed to solve an objective function of a quadratic fractional programming problem (QFPP) with linear constraints. A new method called RBM was introduced to directly solve the problem with optimal solution. …”
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Optimal scheduling of distributed shared energy storage based on optimal SOC interval by Tong Zhang, Liudong Zhang, Yan Chen, Zhiqiang Peng

“…To address this, a distributed SES scheduling method based on optimal operating intervals is proposed. This method introduces an optimal interval variable for Energy Storage State of Charge (SOC) into the traditional three-layer optimization problem, effectively decoupling time-related constraints. …”
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Increasing integration of wind energy through the joint operation of electric vehicles and the grid using the intelligent spider monkey algorithm by Han Xiaoming, Qian Jingjing

“…The optimization problem is formulated as a single objective problem and solved using an improved spider monkey optimization algorithm. …”
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GCV-SLAM: Ground Constrained Visual SLAM Through Local Ground Planes by Yu Fan, Peng Zhang, Zhi Wang, Chengbao Liu, Guang Zhang

“…To avoid the over-parameterization problem in the graph-factor-based optimization process, the Closest Point(CP) representation is adopted to describe the local ground plane. …”
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Revisiting a Cornuéjols-Nemhauser-Wolsey formulation for the p-median problem by Agostinho Agra, Cristina Requejo

“…Here, we reintroduce the formulation for the p-median problem from a different perspective, resulting from the intersection of a selection problem with an additional family of optimality constraints to define the costs correctly. …”
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Berth Allocation and Quay Crane Scheduling in Port Operations: A Systematic Review by Ndifelani Makhado, Thulane Paepae, Matthews Sejeso, Charis Harley

“…Container terminals are facing significant challenges in meeting the increasing demands for volume and throughput, with limited space often presenting as a critical constraint. Key areas of concern at the quayside include the berth allocation problem, the quay crane assignment, and the scheduling problem. …”
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Exponential Squared Loss-Based Robust Variable Selection with Prior Information in Linear Regression Models by Hejun Wei, Tian Jin, Yunquan Song

“…This paper proposes a robust variable selection method that incorporates prior information through linear constraints. For more than a decade, penalized likelihood frameworks have been the predominant approach for variable selection, where appropriate loss and penalty functions are selected to formulate unconstrained optimization problems. …”
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Day-ahead reserve determination in power systems with high renewable penetration by Xuan Liu, Antonio J. Conejo

“…Within a daily scheduling framework, we model the production uncertainty of renewable units via scenarios and include security constraints per scenario to ensure an uneventful operation in case of failure of key thermal units. …”
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A Three-Dimensional Target Localization Method for Satellite–Ground Bistatic Radar Based on a Geometry–Motion Cooperative Constraint by Fangrui Zhang, Hu Xie, She Shang, Hongxing Dang, Dawei Song, Zepeng Yang

“…Introducing the assumption of short-term linear uniform motion of the target, the target trajectory and elliptical line constraints are projected onto a two-dimensional plane, establishing an optimization model to determine the target trajectory parameters, ultimately yielding the target’s three-dimensional coordinates and completing the positioning process. …”
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The Influence of Problem Specific Neighborhood Structures in Metaheuristics Performance by A. S. Santos, A. M. Madureira, M. L. R. Varela

“…The performance of eight NS was examined with SA and DABC under two optimization constraints, regarding computational time variation, to determine if there is one appropriate NS for the TSP problem, independent of the rest of the parameters of the optimization procedure. …”
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