Self-adaptive multi-population quadratic approximation guided jaya optimization applied to economic load dispatch problems with or without valve-point effects by Sukriti Patty, Rajeev Das, Dharmadas Mandal, Provas Kumar Roy

“…SMP-JaQA, was originally proposed to address constrained optimization problems, adapts the positions of search agents based on the best solutions identified in each generation to converge efficiently to the optimal solution. …”
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Optimizing Route Planning via the Weighted Sum Method and Multi-Criteria Decision-Making by Guanquan Zhu, Minyi Ye, Xinqi Yu, Junhao Liu, Mingju Wang, Zihang Luo, Haomin Liang, Yubin Zhong

“…Choosing the optimal path in planning is a complex task due to the numerous options and constraints; this is known as the trip design problem (TTDP). …”
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An Algorithm Based on Connectivity Properties for Finding Cycles and Paths on Kidney Exchange Compatibility Graphs by Roger Z. Ríos-Mercado, L. Carolina Riascos-Álvarez, Jonathan F. Bard

“…Kidney-paired donation programs assist patients in need of a kidney to swap their incompatible donor with another incompatible patient–donor pair for a suitable kidney in return. The kidney exchange problem (KEP) is a mathematical optimization problem that consists of finding the maximum set of matches in a directed graph representing the pool of incompatible pairs. …”
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Optimizing population mean estimation in stratified sampling using linear cost: A simulation study by Poonam Singh, Prayas Sharma, Rajesh Singh, Badr Aloraini, Aysha Akhtar

“…We have carefully derived the Mean Square Error (MSE) of the proposed estimators and addressed this as an optimization problem to further refine estimator performance in light of cost constraints and optimal sample sizes. …”
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Novel CP model and CP-assisted meta-heuristic algorithm for flexible job shop scheduling with preventive maintenance by Lixin Zhao, Leilei Meng, Weiyao Cheng, Yaping Ren, Biao Zhang, Hongyan Sang

“…We first propose two novel constraint programming (CP) models for FJSP-FPM and FJSP-PPM to obtain optimal solutions. …”
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On а Model for Drough Risk Reduction in Agriculture by B. A. Ashabokov, L. M. Fedchenko, A. A. Tashilova, L. A. Kesheva, M. B. Ashabokova

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Research on the cooperative offloading strategy of sensory data based on delay and energy constraints by Peiyan YUAN, Saike SHAO, Ran WEI, Junna ZHANG, Xiaoyan ZHAO

“…The edge offloading of the internet of things (IoT) sensing data was investigated.Multiple edge servers cooperatively offload all or part of the sensing data initially sent to the cloud center, which protects data privacy and improves user experience.In the process of cooperative offloading, the transmission of the sensing data and the information exchange among edge servers will consume system resources, resulting in the cost of cooperation.How to maximize the offloading ratio of the sensing data while maintaining a low collaboration cost is a challenging problem.A joint optimization problem of sensing data offload ratio and cooperative scale satisfying the constraints of network delay and system energy consumption was formulated.Subsequently, a distributed alternating direction method of multipliers (ADMM) via constraint projection and variable splitting was proposed to solve the problem.Finally, simulation experiments were carried out on MATLAB.Numerical results show that the proposed method improved the network delay and energy consumption compared to the fairness cooperation algorithm (FCA), the distributed optimization algorithm (DOA), and multi-subtasks-to-multi-servers offloading scheme (MTMS) algorithm.…”
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Multi-UAV DMPC Cooperative Guidance with Constraints of Terminal Angle and Obstacle Avoidance by Zijie Jiang, Xiuxia Yang, Cong Wang, Yi Zhang, Hao Yu

“…This paper studies the salvo attack problem for multiple unmanned aerial vehicles (UAVs) against a maneuvering target, and a guidance scheme based on distributed model predictive control (DMPC) is presented to achieve cooperative interception with constraints of terminal impact angle and no-fly zone (or obstacle) avoidance. …”
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Improved Air Mesh Refinement for Accurate Strand-Solid and Self-Collision Handling by Jong-Hyun Kim

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C-mixture and multi-constraints based genetic algorithm for collaborative data publishing by Yogesh R. Kulkarni, T. Senthil Murugan

“…In order to apply the proposed privacy measure to privacy preserving data publishing, a new algorithm called, CPGEN is developed using genetic algorithm and multi-objective constraints. The proposed multi-objective optimization considered the multiple privacy constraints along with the utility measurement to measure the importance. …”
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The Second-Order Differential Equation System with the Controlled Process for Variational Inequality with Constraints by Li Wang, Xingxu Chen, Juhe Sun

“…In this paper, the variational inequality with constraints can be viewed as an optimization problem. …”
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Unsupervised feature selection based on generalized regression model with linear discriminant constraints by Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai

“…We reformulate our proposed method as a multi-variable optimization problem that incorporates equality constraints. …”
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A Three-Block Inexact Heterogeneous Alternating Direction Method of Multipliers for Elliptic PDE-Constrained Optimization Problems with a Control Gradient Penalty Term by Xiaotong Chen, Tongtong Wang, Xiaoliang Song

“…Optimization problems with PDE constraints are widely used in engineering and technical fields. …”
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A Two-Individual-Based Evolutionary Algorithm for Flexible Assembly Job Shop Scheduling Problem with Uncertain Interval Processing Times by Peng Zheng, Shichang Xiao, Peng Zhang, Youlong Lv

“…This paper investigates the flexible assembly job shop scheduling problem (FAJSP) with uncertain processing times, where processing times are represented as variable interval numbers. …”
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UAV mission scheduling with completion time, flight distance, and resource consumption constraints by Keqin Li

“…In this paper, we consider optimal mission scheduling for heterogeneous UAVs with completion time, flight distance, and resource consumption constraints. …”
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Incentive mechanism based on Stackelberg game under reputation constraint for mobile crowdsensing by Xiaoxiao Yang, Jing Zhang, Jun Peng, Lihong Lei

“…Therefore, this study proposes a reputation constraint incentive mechanism algorithm based on the Stackelberg game to solve the abovementioned problem. …”
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Research on Lightweighting Methods for 3D Building Models Based on Semantic Constraints by J. Wu, T. Shen, L. Huo

“…Therefore, ensuring the geometric accuracy and semantic integrity of models while reducing data redundancy has become a critical issue in current research. To address this problem, this paper proposes a lightweighting method for 3D building models based on semantic constraints. …”
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Deep reinforcement learning for multi-objective location optimization of onshore wind power stations: a case study of Guangdong Province, China by Yanna Gao, Hong Dong, Liujun Hu, Fanhong Zeng, Yuqun Gao, Zhuonan Huang, Shaohua Wang, Shaohua Wang

“…In the Guangdong case study, DRL attains similar or improved coverage and utilization within a fraction of the runtime required by Gurobi, enabling faster iteration for scenario analysis.DiscussionThe findings indicate that DRL offers an efficient alternative to traditional solvers for complex spatial optimization in wind farm siting. Faster computation and better scalability facilitate exploration of multiple planning scenarios, sensitivity analyses, and rapid decision support under practical time constraints. …”
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Research on nonlinear constraint assessment model of power grid based on generalized Benders decomposition by Bo Jia, Le Kang, Yide Xie, Yue Xu

“…Abstract Aiming at the problem of distribution network assessment for energy storage and distributed generation, this paper proposes a nonlinear constraint assessment model for power grid based on generalized Benders decomposition. …”
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A Bi-Objective Optimization Strategy of a Distribution Network Including a Distributed Energy System Using Stepper Search by Suliang Ma, Zeqing Meng, Yilin Cui, Guanglin Sha

“…The optimal scheduling of DES is to solve a multi-objective optimization problem (MOP) with complex constraints. …”
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