A neo-cooperation search based evolutionary algorithm for multi-objective electric rope shovel production scheduling by Jue Zhang, Haifeng Yue, Yongpeng Wang, Ruhan Guo, Shuai Shao

“…Therefore, the electric rope shovel production scheduling problem turns out to be challenging for general optimizers, requiring to find the optimal operation sequence, make trade-offs between multiple conflicting objectives, and satisfy a series of strict 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

“…However, the CLC location–allocation problem, which considers periodic demand and transportation risk, has not been adequately solved. …”
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Optimality Conditions and Stability Analysis for the Second-Order Cone Constrained Variational Inequalities by Li Wang, Yining Sun, Juhe Sun, Yanhong Yuan, Bin Wang

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On Wolfe duality for mathematical programs with equilibrium constraints using directional convexificators by Prachi Sachan, Vivek Laha, Mohammad Esmael Samei

“…Abstract In this paper, we consider a mathematical programming problem with equilibrium constraints (MPEC), where its functions are not necessarily smooth, continuous, or locally Lipschitz. …”
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A Two-Stage Offline-to-Online Multiobjective Optimization Strategy for Ship Integrated Energy System Economical/ Environmental Scheduling Problem by Qing An, Jun Zhang, Xin Li, Xiaobing Mao, Yulong Feng, Xiao Li, Xiaodi Zhang, Ruoli Tang, Hongfeng Su

“…The economical/environmental scheduling problem (EESP) of the ship integrated energy system (SIES) has high computational complexity, which includes more than one optimization objective, various types of constraints, and frequently fluctuated load demand. …”
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Flexible Capacitated Vehicle Routing Problem Solution Method Based on Memory Pointer Network by Enliang Wang, Yue Cai, Zhixin Sun

“…To address these limitations, we propose a flexible CVRP model, referred to as Flexible CVRP, which modifies the optimization objectives and constraints. This allows CVRP to provide a sensible solution even when no feasible solution exists in the traditional sense. …”
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Interdisciplinary Methodology for Resource Allocation Problems Using Artificial Neural Networks and Software Robots by Marta Lilia Erana-Diaz, Marco Antonio Cruz-Chavez, Mario Acosta-Flores, Juana Enriquez-Urbano, Nadia Lara Ruiz, Jorge Pablo Oseguera Gamba

“…By embedding human-centered constraints directly into the optimization process, this study offers a pathway to mitigate potential issues such as worker overload and improve overall worker satisfaction. …”
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Evaluation of Disassembling Process Inference Based on Positional Relations Matrix by Kazuyuki Hanahara, Kaori Yamada

“…We have evaluated the practicality of the proposed disassembling process inference based on a number of disassembling problems which were generated by means of a problem-generation system based on random number generator. …”
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High-Level Synthesis under Fixed-Point Accuracy Constraint by Daniel Menard, Nicolas Herve, Olivier Sentieys, Hai-Nam Nguyen

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The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing by Robin Kurtz, Marco Kuhlmann

“… Dependency parsing can be cast as a combinatorial optimization problem with the objective to find the highest-scoring graph, where edge scores are learnt from data. …”
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Flow direction algorithm for optimal coordination of directional overcurrent relays considering arc flash by Dina K. Mahmoud, Shady H．E．Abdel Aleem, Ahmed M. Ibrahim, Mahmoud M. Sayed, Wael Abdelfattah

“…The objective of this study is to reduce the overall operation time of primary relays under certain constraints and thus reduce the amount of IE. The FDA is designed to address the highly nonlinear optimization problem of DOCRs coordination. …”
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Simulation-based deep reinforcement learning for multi-objective identical parallel machine scheduling problem by Sohyun Nam, Young-in Cho, Jong Hun Woo

“…In the shipbuilding industry, traditional optimization studies based on linear programming and constraint programming have been conducted to solve mid-term or long-term scheduling problems. …”
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Approximation method of multiple consistency constraint under differential privacy by Jianping CAI, Ximeng LIU, Jinbo XIONG, Zuobin YING, Yingjie WU

“…Under differential privacy, to solve the optimal publishing problem with multiple consistency constraints, an approximation method of multiple consistency constraints was proposed by the theoretical analysis of the principle of optimal consistency release.The main idea was to divide the consistency constraint problem into several consistency constraint sub-problems and then achieve the original problem's optimal consistency release by solving each consistency constraint sub-problem repeatedly and independently.The advantage was that after the consistency constraint problem divided, the sub-problems were often easier to solve, or the technology to achieve optimal and consistent release of sub-problems is quite mature.Therefore more complex differential privacy optimal release problem could be solved.After analysis, the approximation method's convergence was fully demonstrated, ensuring that any partition of consistency constrained sub-problems can always achieve the optimal consistency release of the original problem.Furthermore, taking the sales histogram publishing as an example, based on the approximation method of multiple consistency constraints, a parallel algorithm was designed with optimal consistency release under differential privacy.The experimental results show that the algorithm's efficiency is 400 times higher than that of the general solution, and the algorithm can process millions of large-scale data.…”
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Parallel-Batch Scheduling and Transportation Coordination with Waiting Time Constraint by Hua Gong, Daheng Chen, Ke Xu

“…This paper addresses a parallel-batch scheduling problem that incorporates transportation of raw materials or semifinished products before processing with waiting time constraint. …”
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Finding the Shortest Path with Vertex Constraint over Large Graphs by Yajun Yang, Zhongfei Li, Xin Wang, Qinghua Hu

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Network moving target defense technique based on optimal forwarding path migration by Cheng LEI, Duo-he MA, Hong-qi ZHANG, Qi HAN, Ying-jie YANG

“…Moving target defense is a revolutionary technology which changes the situation of attack and defense.How to effectively achieve forwarding path mutation is one of the hotspot in this field.Since existing mechanisms are blindness and lack of constraints in the process of mutation,it is hard to maximize mutation defense benefit under the condition of good network quality of services.A novel of network moving target defense technique based on optimal forwarding path migration was proposed.Satisfiability modulo theory was adopted to formally describe the mutation constraints,so as to prevent transient problem.Optimization combination between routing path and mutation period was chosen by using optimal routing path generation method based on security capacity matrix so as to maximum defense benefit.Theoretical and experimental analysis show the defense cost and benefit in resisting passive sniffing attacks.The capability of achieving maximum defense benefit under the condition of ensuring network quality of service is proved.…”
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A solution to the Single-School school bus routing problem considering accessibility and economy by Zizhan Jiang, Jiying Wang, Siyuan Huang, Hua Daniel Xu

“…The school bus routing problem (SBRP) involves the optimal placement of bus stops and design of bus routes. …”
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Solvability of the Quaternary Continuous Classical Boundary Optimal Control Dominated by Quaternary Parabolic System by Jamil A. Ali Al-Hawasy, Fetan J. Naji

“… The purpose of this paper is to study the solvability of the quaternary continuous classical boundary optimal control vector problem dominated by quaternary nonlinear parabolic boundary value problem with state constraints. …”
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Minimization of Resource Consumption with URLLC Constraints for Relay-Assisted IIoT by Yujie Zhao, Tao Peng, Yichen Guo, Yijing Niu, Wenbo Wang

“…In relay-assisted Industrial Internet of Things (IIoT) systems with ultra-reliable low-latency communication (uRLLC) requirements, finite blocklength coding imposes stringent resource constraints. In this work, the packet error probability (PEP) and blocklength allocation across two-hop links are jointly optimized to minimize total blocklength (resource consumption) while satisfying reliability, latency, and throughput requirements. …”
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JCN: Joint Constraint-Based Human Pose Refinement Networks by Yuru Zhang, Jiayuan Zhao, Xiaodong Su, Hongyan Xu, Meijian Jin

“…We propose our approach to two critical problems in pose estimation, occlusion and background interference, for which the model often needs local information for inference. …”
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