Robust Optimal Power Scheduling for Fuel Cell Electric Ships Under Marine Environmental Uncertainty by Gabin Kim, Minji Lee, Il-Yop Chung

“…The scheduling method is formulated considering generation cost curves of PEMFCs with mixed-integer linear programming (MILP) and is extended to a robust optimization framework that accounts for marine environmental uncertainties. …”
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Robust Optimization Research of Cyber–Physical Power System Considering Wind Power Uncertainty and Coupled Relationship by Jiuling Dong, Zilong Song, Yuanshuo Zheng, Jingtang Luo, Min Zhang, Xiaolong Yang, Hongbing Ma

“…Next, a bi-level mixed-integer robust optimization model is developed to improve power system resilience, incorporating constraints related to the coupling strength, electrical characteristics, and traffic characteristics of the information network. …”
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A Novel Biobjective Risk-Based Model for Stochastic Air Traffic Network Flow Optimization Problem by Kaiquan Cai, Yaoguang Jia, Yanbo Zhu, Mingming Xiao

“…This paper investigates the stochastic air traffic network flow optimization (SATNFO) problem, which is formulated as a weighted biobjective 0-1 integer programming model. …”
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Integrated Optimization of Production Scheduling and Explicit Model Predictive Control for Batch Process Based on SEN Framework by Yue WANG, Xiaohui GUO, Yuting JIN, Xin JIN

“…In the scheduling section, a production scheduling model is established based on the State Equipment Network (SEN) and the unit⁃specific event⁃based continuous time modeling method; the integrated model of scheduling and control belongs to a mixed integer dynamic optimization problem, and solving it requires a large amount of complex computation, in order to alleviate the burden of online computing, Explicit Model Predictive Control (EMPC) is utilized for offline solving; the MPT toolbox is used to solve the dynamic problem of EMPC; introducing binary variables, converting the obtained explicit control solution into explicit linear constraints, and adding them to the common constraint objective in the scheduling model; through case analysis, the optimization results were compared and analyzed with the pure scheduling model, and the economic feasibility of the integrated model is verified.…”
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Cooperative Electricity-Hydrogen Trading Model for Optimizing Low-Carbon Travel Using Nash Bargaining Theory by Guangsheng Pan, Wei Gu, Xiaogang Chen, Yuping Lu, Suhan Zhang

“…Specifically, IP focus on distributed PV integration and low carbon travels, P2H strives to improve cost competitiveness of hydrogen, and electricity-hydrogen trading prices and quantities are optimized between them. Also, GC obtains profits by charging grid fees considering power flow constraints. …”
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Multiperiod Location–Allocation Optimization of Construction Logistics Centers for Large-Scale Projects in Complex Environmental Regions by Hao Shen, Jin Zhang, Wenjie Sun, Wenguang Yang, Guoqi Li

“…This work provides an approach to integrating transportation path risk into multiperiod CLC location–allocation optimization for large-scale projects in complex environmental regions. …”
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An Improved Salp Swarm Algorithm for Solving a Multi-Temperature Joint Distribution Route Optimization Problem by Yimei Chang, Jiaqi Yu, Yang Wang, Xiaoling Xie

“…In order to address the diverse and personalized needs of consumers for fresh products, as well as to enhance the efficiency and safety of fresh product delivery, this paper proposes an integer programming model aimed at minimizing total distribution costs. …”
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Chaotic evolutionary multi-objective optimization for multivariate pair trading in tehran stock exchange: the distance approach by Hossein Nikoo, Jamal Barzgari khanagha, Hamid Reza Mirzaei

“…The problem is developed in the form of a Mixed Integer Programming (MIP) model, and due to non-convex constraints and exponential solution space, a multi-objective genetic algorithm is used to obtain multivariate pair combinations. …”
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Optimization of Bus Dispatching in Public Transportation Through a Heuristic Approach Based on Passenger Demand Forecasting by Javier Esteban Barrera Hernandez, Luis Enrique Tarazona Torres, Alejandra Tabares, David Álvarez-Martínez

“…Additionally, we introduce a tailored mathematical model—grounded in mixed-integer linear programming and space-time flows—that serves as a benchmark to evaluate our heuristic’s performance under the operational constraints typical of traditional public transportation systems in Colombian mid-sized cities. …”
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A multi-objective multi-period mathematical programming model for integrated project portfolio optimization and contractor selection by Mostafa Zahedirad, Kaveh Khalili-Damghani, Vahidreza Ghezavati, Alireza Rashidi Komijan

“…Additionally, the time complexity of both scenarios is analyzed, taking into account different numbers of variables and constraints. The analysis reveals that the second scenario exhibits superior performance in terms of CPU time. • This method applies goal programming (GP) to solve the mixed-integer mathematical programming models for project portfolio optimization and contractor selection, thoroughly comparing the two scenarios using a practical example.…”
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Collaborative Optimization of Passenger Control Strategy and Train Operation Plan with Variable Formations for a Rail Transit Network by Yonghao Yin, Jun Chen, Wenrui Zhao

“…The timetable and variable train formation are integrated optimized, and the turnaround of rolling stock is also considered by constructing the train operation constraints for the model. …”
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Optimized Quality of Service for Real-Time Wireless Sensor Networks Using a Partitioning Multipath Routing Approach by Mohammed Zaki Hasan, Tat-Chee Wan

“…We propose a novel mathematical model for quality of service (QoS) route determination that enables a sensor to determine the optimal path for minimising resource use while satisfying the required QoS constraints. …”
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Convergence Study of Minimizing the Nonconvex Total Delay Using the Lane-Based Optimization Method for Signal-Controlled Junctions by C. K. Wong, Y. Y. Lee

“…A set of constraints is set up to ensure the feasibility and safety of the resultant optimized lane markings and signal settings. …”
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A speed optimization model for connected and autonomous vehicles at expressway tunnel entrance under mixed traffic environment. by Jianrong Cai, Yang Liu, Zhixue Li

“…For HVs, speed trajectories are determined using the Intelligent Driver Model (IDM). The CAV speed optimization model, represented as a mixed-integer nonlinear optimization problem, is solved using A Mathematical Programming Language (AMPL) and the BONMIN solver. …”
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Mid-Term Optimal Scheduling of Hydro-Wind-Solar Systems Addressing Extreme Drought and Renewable Energy Forecast by CHEN Cong, LIU Benxi, WANG Haidong, WANG Wenbin

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Joint optimization of maintenance and demand response investments in distribution networks using a hybrid GA-SQP approach by Roshan Alirezaei, Reza Dashti, Mojtaba Mirhosseini

“…This study proposes a novel integrated optimization framework that simultaneously allocates capital to preventive maintenance and demand response (DR) programs in power distribution networks under budget constraints. …”
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Optimal Bidding Capacity of Virtual Power Plant Incorporating Power-to-X Resources on Day-Ahead Energy Market by Kyeong-Hee Cho, Hyung-Chul Jo, Wanbin Son, Soon-Young Kwon, Gilsung Byeon

“…This study modeled the diverse characteristics of P2X resources and established objective functions and constraints. The optimization method for the integrated operational plan was developed using mixed integer linear programming. …”
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Risk–Cost Equilibrium for Grid Reinforcement Under High Renewable Penetration: A Bi-Level Optimization Framework with GAN-Driven Scenario Learning by Feng Liang, Ying Mu, Dashun Guan, Dongliang Zhang, Wenliang Yin

“…This paper proposes a novel bi-level optimization framework for transmission planning under adversarial uncertainty, coupling a distributionally robust upper-level investment model with a lower-level operational response embedded with physics and market constraints. …”
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Novel Application of Quantum Computing for Routing and Spectrum Assignment in Flexi-Grid Optical Networks by Oumayma Bouchmal, Bruno Cimoli, Ripalta Stabile, Juan Jose Vegas Olmos, Carlos Hernandez, Ricardo Martinez, Ramon Casellas, Idelfonso Tafur Monroy

“…By formulating the problem as a Quadratic Unconstrained Binary Optimization (QUBO) model, we employ the Quantum Approximate Optimization Algorithm (QAOA) to effectively solve it. …”
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Developing an efficient algorithm for robust school bus routing with heterogeneous fleet by Mohamad Ali Movafaghpour

“…This issue arose by violating some hard constraints.Methodology: In this research, a mixed linear integer programming for school bus routing with mixed loading by using a heterogeneous fleet is presented. …”
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