Price Decision Optimization for Electricity Retailers Based on Dual Game under Carbon Constraints by Fangshu LI, Kun YU, Xingying CHEN, Haochen HUA

“…Thereby, a dual game price decision optimization model for multiple electricity retailers competing for sale of electricity and multiple users purchasing electricity is proposed to address the issue of retail electricity pricing under carbon constraints. …”
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Advanced Vehicle Routing for Electric Fleets Using DPCGA: Addressing Charging and Traffic Constraints by Yuehan Zheng, Hao Chang, Peng Yu, Taofeng Ye, Ying Wang

“…With the rapid proliferation of electric vehicles (EVs), urban logistics faces increasing challenges in optimizing vehicle routing. This paper presents a new modeling framework for the Electric Vehicle Routing Problem (EVRP), where multiple electric trucks serve a set of customers within their capacity limits. …”
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Hybrid Optimization Algorithm for Solving Attack-Response Optimization and Engineering Design Problems by Ahmad K. Al Hwaitat, Hussam N. Fakhouri, Jamal Zraqou, Najem Sirhan

“…Statistical analysis using Wilcoxon sum-rank tests further underscores JADEDO’s consistent advantage over several established optimizers, reflecting its proficiency in navigating complex, high-dimensional problems. …”
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Optimal Ordering and Pricing Policies for Seasonal Products: Impacts of Demand Uncertainty and Capital Constraint by Jinzhao Shi, Richard Y. K. Fung, Ju’e Guo

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Sequential Memetic Algorithm Optimization for Allocation Planning in Hostelry Establishments by Rubén Ferrero-Guillén, Alberto Martínez-Gutiérrez, Rubén Álvarez, Javier Díez-González

“…Existing approaches to this problem fail to address both the TLP and CLP simultaneously, thus resulting in suboptimal solutions achieved by imposing optimization constraints. …”
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A compact model for the home healthcare routing and scheduling problem by Roberto Montemanni, Sara Ceschia, Andrea Schaerf

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Multi-constraints QoS routing optimization based on improved immune clonal shuffled frog leaping algorithm by Yi LU, Mengying XU, Jie ZHOU

“…Aiming at the multi-constraint routing problem,a mathematical model was designed,and an improved immune clonal shuffled frog leaping algorithm (IICSFLA) was proposed,which combined immune operator with traditional SFLA.Under the constraints of bandwidth,delay,packet loss rate,delay jitter and energy cost,total energy cost from the source node to the terminal node was computed.The proposed algorithm was used to find an optimal route with minimum energy cost.In the simulation,the performance of IICSFLA with adaptive genetic algorithm and adaptive ant colony optimization algorithm was compared.Experimental results show that IICSFLA solves the problem of multi-constraints QoS unicast routing optimization.The proposed algorithm avoids local optimum and effectively reduces energy loss of data on the transmission path in comparison with adaptive genetic algorithm and adaptive ant colony optimization algorithm.…”
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Efficient Task Scheduling Using Constraints Programming for Enhanced Planning and Reliability by JaeBong Cho, Soonil Jung, Kyungmo Yang, Dohun Kim, WonJong Kim

“…By proposing a proper modeling of the problem and preparing data for the constraint programming algorithm, we demonstrate superior performance in scheduling efficiency and resource utilization. …”
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Analysis of new approaches used in portfolio optimization: a systematic literature review by Danilo Alcantara Milhomem, Maria José Pereira Dantas

“…Abstract Paper aims To do a comprehensive review of the exact and heuristic methods, software/programming languages, constraints, and types of analysis (technical and fundamental) used to solve the portfolio optimization problem. …”
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A Compact Model for the Clustered Orienteering Problem by Roberto Montemanni, Derek H. Smith

“…Any solving methods providing better solutions also imply a new step towards sustainable logistics since companies can rely on more efficient delivery patterns, which, in turn, are associated with an improved urban environment with benefits both to the population and the administration thanks to an optimized and controlled last-mile delivery flow. <i>Methods:</i> In this paper, we propose a constraint programming model for the problem, and we empirically evaluate the potential of the new model by solving it with out-of-the-box software. …”
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An Optimization Problem for Quadcopter Reference Flight Trajectory Generation by Karam Eliker, Guoqing Zhang, Said Grouni, Weidong Zhang

“…The optimal reference flight trajectory, with respect to the mission requirements and imposed constraints, is reached by manipulating the control points’ vectors of B-spline functions via a nonlinear constrained optimization method. …”
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Quadratic unconstrained binary optimization and constraint programming approaches for lattice-based cyclic peptide docking by J. Kyle Brubaker, Kyle E. C. Booth, Akihiko Arakawa, Fabian Furrer, Jayeeta Ghosh, Tsutomu Sato, Helmut G. Katzgraber

“…In this work, we explore modeling and solving this problem with the quantum-amenable quadratic unconstrained binary optimization (QUBO) formalism. …”
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An intelligent stochastic optimization approach for air cargo order allocation under carbon emission constraints. by Zhenzhong Zhang, Ling Zhang, Deqiang Fu, Weichun Li

“…A new intelligent optimization method is introduced for addressing the order assignment problem under carbon emission constraints by combining the improved adaptive large-scale neighborhood search algorithm with the scenario generation technique. …”
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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

“…The cooperative task assignment problem with time windows for heterogeneous multiple unmanned aerial vehicles is an attractive complex combinatorial optimization problem. …”
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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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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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PROBLEM OF OPTIMAL CONTROL OF EPIDEMIC IN VIEW OF LATENT PERIOD by N. I. Ovsyannikova

“…The problem of optimal control of epidemic through vaccination and isolation, taking into account latent period is considered. …”
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SOLVING ENGINEERING OPTIMIZATION PROBLEMS WITH THE SWARM INTELLIGENCE METHODS by A. V. Panteleev, M. D. Evdokimova

“…An important stage in problem solving process for aerospace and aerostructures designing is calculating their main characteristics optimization. …”
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Optimal Operation of Renewable Energy Bases Considering Short-Circuit Ratio and Transient Overvoltage Constraints by Siqi Zhang, Hanzhi Zhang, Hao Sheng, Tianxiao Huang, Tianqi Zhao, Yinglin Liu, Shuaihao Kong, Lu Zhang

“…To address the inherent nonlinearity of power systems, the trajectory sensitivities of SCR and TOV with respect to the decision variables are calculated, allowing the original nonlinear optimization problem to be transformed into a linear programming (LP) problem for efficient solving. …”
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A SEIR model for control of infectious diseases with constraints by M. H. A. Biswas, L. T. Paiva, MdR de Pinho

“…Optimal control can be of help to test and compare different vaccination strategies of a certain disease.In this paper we propose the introduction ofconstraints involving state variables on an optimal control problem applied to a compartmental SEIR (Susceptible. …”
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