A Robust Multiobjective Mathematical Model Optimizing Stock Portfolio by Mehran Sadri, Alireza Sadeghi, Mahdi Madanchi Zaj, Esmaeel Afzoon, Helia Dardaei-beiragh

“…The present paper investigates the problem of capital portfolio selection under uncertain conditions and uses a robust optimization approach for modeling. The model provided in this paper is a three-objective model that aims to maximize returns, maximize liquidity, and minimize risk. …”
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Energy Sharing of Multiple Virtual Power Plants Based on a Peer Aggregation Model by Sheng Li, Yujie Huang

“…At the VPP autonomous optimization level, each VPP operator formulates an autonomous optimization strategy based on the price incentives and the internal resource parameters and adopts a robust optimization method to improve the strategy’s robustness. …”
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Joint Pricing and Purchasing Decisions for the Dual-Channel Newsvendor Model with Partial Information by Jixiang Zhou, Yong Wang, Xiaoming Yan

“…We obtain a close-form expression for the robust optimal policy. Illustrative simulations and numerical experiments show the effects of several parameters on the optimal policy and on newsvendor performance. …”
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An Integrated Problem of p-Hub Location and Revenue Management with Multiple Capacity Levels under Disruptions by Yan-Ting Hou, Jia-Zhen Huo, Feng Chu

“…To provide flexible solutions, a hybrid two-stage stochastic programming-robust optimization model is developed by putting relative emphasis on a weighted sum of profit maximization. …”
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Multiobjective Location Routing Problem considering Uncertain Data after Disasters by Keliang Chang, Hong Zhou, Guijing Chen, Huiqin Chen

“…The demands of affected points and the velocities between two points on the paths are uncertain in this article, and the robust optimization method is applied to deal with the uncertain parameters. …”
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Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power by Zhongfu Tan, Qingkun Tan, Yuwei Wang

“…This paper constructs a robust optimization model of virtual power plant bidding strategy in the electricity market, which considers the cost of charge and discharge of energy storage power station and transmission congestion. …”
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Robust Proactive Project Scheduling Model for the Stochastic Discrete Time/Cost Trade-Off Problem by Hongbo Li, Zhe Xu, Li Xiong, Yinbin Liu

“…By modeling the activity time and cost using interval numbers, we propose a proactive project scheduling model for the SDTCTP-B based on robust optimization theory. Our model can generate robust baseline schedules that enable a freely adjustable level of robustness. …”
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Optimal robust sizing of distributed energy storage considering power quality management by Ying Zhu, Juan Wei, Bozhong Wang, Shiyu Hong, Yutong Liu, Liang Lu

“…To improve capacity utilization of the DESS, power quality management services are quantified and integrated into an optimal bi‐level sizing model, where the upper level addresses the sizing problem concerning battery and PCS capacities, while the lower level focuses on coordinating active/reactive power control of the DESS. A robust optimization approach for DESS scheduling is adopted to consider uncertainties of distributed photovoltaic (PV) power generation and power quality management requirements. …”
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A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources by Nikolaos Savvopoulos, Nikos Hatziargyriou, Hannu Laaksonen

“…The proposed approach integrates the stochasticity of the flexibility resources using a scenario-based robust optimization and incorporates the intertemporal constraints of DER into the estimation process, ensuring a realistic representation of the flexibility capability over time. …”
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Optimal Electric Bus Scheduling under Travel Time Uncertainty: A Robust Model and Solution Method by Mengyan Jiang, Yi Zhang, Yi Zhang

“…In this paper, we addressed the e-bus scheduling problem under travel time uncertainty by robust optimization approaches. We consider the cardinality constrained uncertainty set to formulate a robust multidepot EVSP model considering trip time uncertainty and partial recharging. …”
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Artificial neural network TSR for optimization of actinomycin production by Marzieh Lamtar-Gholipoor, Soheil Fakheri, Mahmoud Alimoradi

“…By contrast, the ANN-TSR hybrid approach leverages the predictive power of neural networks and the robust optimization capabilities of TSR, inspired by the resource-sharing behaviors of tree communities. …”
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New Models for Home Health Care under Uncertainty with Consideration of the Coordinated Development of Economy and Environment by Yan Cui, Lijun Zhang, Qiuye Gao, Bohao Li, Yumei Hou

“…Most of the previous studies only consider the deterministic model, which has difficulty dealing with the uncertain situation. Therefore, a robust optimization (RO) model is proposed to resist uncertain disturbances by introducing a robust uncertain set response. …”
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Optimal allocation of intelligent parking lots in distribution system: A robust two‐stage optimization model by Motahareh Mojarad, Mostafa Sedighizadeh, Mohamad Dosaranian‐Moghadam

“…In the second stage, the optimal IPL allocation is performed taking various network constraints into consideration. The robust optimization is developed to hedge the DN operator and the IPL owner against risk imposed uncertain variables. …”
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Enhanced energy management in smart microgrids using hybrid optimization and demand response strategies by Lei Yang, Lile Wu, Genzhu Li

“…In addition, a two-stage adjustable robust optimization model is introduced, supporting day-ahead planning that ensures secure and cost-effective energy management even under significant uncertainties in renewable energy production. …”
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Boosting biogas production through innovative data-driven modeling and optimization methods at NJWTP by Jingsong Duan, Guohua Cao, Guoqing Ma, Bayram Yazdani

“…This method’s success is attributed to its robust optimization algorithm, which efficiently navigates a diverse search space to locate the global optimum without necessitating input variable pre-processing. …”
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Strategic Resource Planning for Sustainable Biogas Integration in Hybrid Renewable Energy Systems by Pooriya Motevakel, Carlos Roldán-Blay, Carlos Roldán-Porta, Guillermo Escrivá-Escrivá, Daniel Dasí-Crespo

“…The study addresses practical challenges by utilizing real data on demand, truck capacities, and costs and employing robust optimization tools like Gurobi. It demonstrates how optimized biomass flow can secure energy needs during high demand or when other renewables are unavailable. …”
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Introducing a Markov Chain-Based Energy Awareness Approach for Cloud Data Center Virtual Machine Dynamic Management by Xinbin Huang, Yu Huang, Cecılıa. Mercado

“…This research highlights the importance of combining predictive analytics with robust optimization techniques to improve cloud resource management. …”
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Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm by Muhammad Haris, Haewoon Nam

“…The results demonstrate the superiority of the DSI-PSO algorithm over conventional PSO approaches, with significantly enhanced convergence rates and robust optimization performance.…”
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A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations by Xichao Su, Wei Han, Yu Wu, Yong Zhang, Jie Liu

“…In this paper, a proactive robust optimization method for flight deck scheduling with stochastic operation durations is proposed. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…CSO is inspired by the intelligent foraging behavior of crows, and when combined with fractional calculus, it provides a robust optimization framework that improves the accuracy and efficiency of the AI model. …”
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