The Distributionally Robust Optimization Reformulation for Stochastic Complementarity Problems by Liyan Xu, Bo Yu, Wei Liu

“…Assuming that we have only limited information about the uncertain parameters, such as the first two moments or the first two moments as well as the support of the distribution, we formulate the stochastic linear complementarity problem as a distributionally robust optimization reformation which minimizes the worst case of an expected complementarity measure with nonnegativity constraints and a distributionally robust joint chance constraint representing that the probability of the linear mapping being nonnegative is not less than a given probability level. …”
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Two-stage optimal PMU placement for distribution systems by Xiuru Wang, Taibao Xia, Yong Li, Wangqing Mao

“…One challenge is the solution multiplicity in optimal PMU placement (OPP). Another challenge arises from the limited deployment space available at distribution nodes, leading to incomplete observability and the need for optimization to ensure node observability. …”
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Distributionally Robust Energy Optimization with Renewable Resource Uncertainty by Zhangyi Wang, Rui Cao, Dan Tang, Chunsheng Wang, Xiaoyu Liu, Weiguang Hu

“…With the increasing prevalence of intermittent power generation, the volatility, intermittency, and randomness of renewable energy pose significant challenges to the planning and operation of distribution networks. In this study, a data-driven distributionally robust optimization model is introduced. …”
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Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems by Xiangyong Liu, Zan Yang, Jiansheng Liu, Junxing Xiong, Jihui Huang, Shuiyuan Huang, Xuedong Fu

“…Abstract This paper presents a surrogate-assisted global and distributed local collaborative optimization (SGDLCO) algorithm for expensive constrained optimization problems where two surrogate optimization phases are executed collaboratively at each generation. …”
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Optimized Distribution of Entanglement Graph States in Quantum Networks by Xiaojie Fan, Caitao Zhan, Himanshu Gupta, C. R. Ramakrishnan

“…Our work focuses on developing optimal techniques to generate and distribute multipartite entanglement states efficiently. …”
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Distributionally Robust Chance-Constrained Optimization for Soft Open Points Operation in Active Distribution Networks by Qilin Hou, Ge Chen, Ningyi Dai, Hongcai Zhang

“…To overcome these challenges, an emerging flexible interconnection device, soft open point (SOP), is introduced. A distributionally robust chance-constrained optimization (DRCCO) model is also proposed to effectively exploit the benefits of SOPs in ADNs under uncertainties. …”
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REGULARIZATION OF PONTRYAGIN MAXIMUM PRINCIPLE IN OPTIMAL CONTROL OF DISTRIBUTED SYSTEMS by Mikhail I. Sumin

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A Novel Method for Optimal Solution of Fuzzy Chance Constraint Single-Period Inventory Model by Anuradha Sahoo, J. K. Dash

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Robust Optimization for Cooperative Task Assignment of Heterogeneous Unmanned Aerial Vehicles with Time Window Constraints by Zhichao Gao, Mingfa Zheng, Haitao Zhong, Yu Mei

“…We conduct a series of numerical experiments to compare the optimization results across different objectives, including maximizing task profit, minimizing total distance, minimizing makespan, and incorporating three different time window constraints. …”
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Novel Distributed Power Flow Controller Topology and Its Coordinated Output Optimization in Distribution Networks by Yangqing Dan, Ke Sun, Jun Wang, Yanan Fei, Le Yu, Licheng Sun

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Dual-Resource Optimization Configuration and Collaborative Scheduling for Flexible Job Shop Under Worker Flexibility Constraints by Zijie Ren, Hongyi Qu, Mejdl Safran, Jiafu Wan

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Optimal Allocation of DG and DSTATCOM in Radial Distribution System Using Cuckoo Search Optimization Algorithm by T. Yuvaraj, K. Ravi, K. R. Devabalaji

“…This paper proposes a new approach to determine the optimal location and sizing of Distributed Generation (DG) and Distribution STATic COMpensator (DSTATCOM) simultaneously in the distribution network. …”
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Optimization method of time of use electricity price considering losses in distributed photovoltaic access distribution network by Tianshou Li, Qing Xu, Weiwu Li, Xinying Wang, Zhengying Liu

“…And refer to the basic requirements for electricity pricing in the distribution network, set a series of constraints for optimizing electricity prices. …”
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Intelligent optimization method for hazardous materials transportation routing with multi-mode and multi-criterion collaborative constraints by Fan Chen, Qing Zhu

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Proportional Topology Optimization algorithm with virtual elements for multi-material problems considering mass and cost constraints by Minh Tuan Tran, Minh Ngoc Nguyen

“… This paper presents an extension of the Proportional Topology Optimization (PTO) with virtual elements for multi-material problems with mass and cost 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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Optimization Procedures in Affine Model Checking by N. O. Garanina

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Energy Aware Optimal Resource Allocation in Backhaul Constraint Wireless Networks: A Two Base Stations Scenario by Yuan Gao, Peng Xue, Yi Li, Hongyi Yu, Xianfeng Wang, Shihai Gao

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Diversity is key: fantasy football dream teams under budget constraints by Josef Gullholm, Jil Klünder, Julie Rowlett, Jonathan Stålberg

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Optimized Integration of Solar and Battery Systems in Water Distribution Networks by Anudeep Bhatraj, Elad Salomons, Mashor Housh

“…Water Distribution Networks (WDNs) are traditionally known as significant energy users, leading to numerous studies aimed at enhancing their energy efficiency. …”
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