Algorithm for Solving Distributed Workshop Scheduling Model Based on Order Constraints and Assembly Constraints by Tingting Qu

“…With the transformation of manufacturing towards intelligence and flexibility, the workshop scheduling problem, as a typical combinatorial optimization problem, is facing increasingly complex constraints and requirements. …”
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An Optimization Strategy for Unit Commitment in High Wind Power Penetration Power Systems Considering Demand Response and Frequency Stability Constraints by Minhui Qian, Jiachen Wang, Dejian Yang, Hongqiao Yin, Jiansheng Zhang

“…In addition, the frequency variation considering frequency safety constraints has also been significantly improved. The improved binary particle swarm optimization algorithm has promising application prospects in solving the accommodation problem brought by large-scale wind power integration.…”
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An improved dung beetle optimizer based on Padé approximation strategy for global optimization and feature selection by Tianbao Liu, Lingling Yang, Yue Li, Xiwen Qin

“…In this paper, we proposed a multi-strategy enhanced dung beetle optimization algorithm (mDBO) that integrates multiple strategies to effectively address the feature selection problem. …”
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Optimization of Energy Management Strategy for Series Hybrid Electric Vehicle Equipped with Dual-Mode Combustion Engine Under NVH Constraints by Shupeng Zhang, Hongnan Wang, Chengkai Yang, Zeping Ouyang, Xiaoxin Wen

“…An equivalent consumption minimization strategy (ECMS) combined with a dual-loop particle swarm optimization (PSO) algorithm was designed to solve the optimal control problem. …”
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A sequoia-ecology-based metaheuristic optimisation algorithm for multi-constraint engineering design and UAV path planning by Shijie Fan, Ruichen Wang, Kang Su, Yang Song, Rui Wang

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Applying Lean, Information and Logistics Technologies in Condition of Resource Constraints of Defense Industrial Complex by T. G. Surovtseva, I. A. Andreev

“…The article discusses the main types of resources and its constraints at the enterprises of the Russian defense industrial complex. …”
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A continuous-time primal-dual algorithm with convergence speed guarantee utilizing constraint-based control by Taichi Tanaka, Shunta Nakayama, Yasuaki Wasa, Kenji Hirata, Takeshi Hatanaka

“…This paper proposes a novel continuous-time algorithm for solving optimization problems by leveraging the concept of so-called constraint-based control to guarantee a specific convergence speed. …”
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Innovative Hybrid Algorithm for Solving Vehicle Routing Problem with Time Window by A.M. Rahimi, B. Yadegari, M. Aboutalebi Esfahani

“…This minimizes fuel consumption and decreases transportation costs. The Vehicle Routing Problem with Time Window Constraints (VRPTW) is a classic optimization problem in the field of operations research and logistics. …”
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Direct Method for Solving Bilinear Programming Problem by L. D. Matveyeva

“…This problem is known as the Dantzig – Wolfe problem. Earlier, a modified support method was proposed to solve the problem, using the decomposition of the problem constraints of the Dantzig – Wolfe method. …”
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Adaptive dynamic programming-based multi-fault tolerant control of reconfigurable manipulator with input constraint by Zhenguo Zhang, Tianhao Ma, Yadan Zhao, Shuai Yu, Fan Zhou

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Numerical Solutions to the Variational Problems by Dijkstra’s Path-Finding Algorithm by Thanaporn Arunthong, Laddawan Rianthakool, Khanchai Prasanai, Chakrit Na Takuathung, Sakchai Chomkokard, Wiwat Wongkokua, Noparit Jinuntuya

“…The third problem is an example of a problem with an isoperimetric constraint. …”
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An Improved Large Neighborhood Search Algorithm for the Comprehensive Container Drayage Problem with Diverse Transport Requests by Xuhui Yu, Cong He

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Gradual Optimization of University Course Scheduling Problem Using Genetic Algorithm and Dynamic Programming by Xu Han, Dian Wang

“…The university course scheduling problem (UCSP) is a challenging combinatorial optimization problem that requires optimization of the quality of the schedule and resource utilization while meeting multiple constraints involving courses, teachers, students, and classrooms. …”
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Linear Gauss Pseudospectral Method Using Neighboring Extremal for Nonlinear Optimal Control Problems by Tianyou Zhang, Wanchun Chen, Liang Yang

“…This article proposes a method to solve nonlinear optimal control problems with arbitrary performance indices and terminal constraints, which is based on the neighboring extremal method and Gauss pseudospectral collocation. …”
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An Improved Particle Swarm Optimization with Biogeography-Based Learning Strategy for Economic Dispatch Problems by Xu Chen, Bin Xu, Wenli Du

“…This paper presents an improved particle swarm optimization called biogeography-based learning particle swarm optimization (BLPSO) for solving the ED problems involving different equality and inequality constraints, such as power balance, prohibited operating zones, and ramp-rate limits. …”
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Fuel-Optimal Ascent Trajectory Problem for Launch Vehicle via Theory of Functional Connections by Shiyao Li, Yushen Yan, Kun Zhang, Xinguo Li

“…Then, using the function interpolation technique called the TFC, the problem’s constraints are analytically embedded into a functional, and the TPBVP is transformed into an unconstrained optimization problem that includes orthogonal polynomials with unknown coefficients. …”
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Two-Stage Genetic Algorithm for Optimization Logistics Network for Groupage Delivery by Ivan P. Malashin, Vadim S. Tynchenko, Igor S. Masich, Denis A. Sukhanov, Daniel A. Ageev, Vladimir A. Nelyub, Andrei P. Gantimurov, Alexey S. Borodulin

“…The second stage addressed the vehicle routing problem (VRP) by employing a combinatorial GA to optimize the delivery routes. …”
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Artificial Optimizer Algorithm for Power System Stabilizer design problem and multidisciplinary engineering applications by Narinder Singh, Mandeep Kaur, Essam H. Houssein

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A Mixed‐Integer Linear Programming Framework for Optimization of Water Network Operations Problems by Meghna Thomas, Lina Sela

“…This paper introduces MILPNet, an adjustable framework for WDSs that can be used to build and solve an extensive array of MILP optimization problems. MILPNet includes constraints that represent the mass balance and energy conservation equations, hydraulic devices, control rules, and status checks. …”
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A class of constrained optimal control problems arising in an immunotherapy cancer remission process by Yineng Ouyang, Zhaotao Liang, Zhihui Ma, Lei Wang, Zhaohua Gong, Jun Xie, Kuikui Gao

“…Then, we derive gradients of the cost function and/or the constraints in the resulting problems. On the basis of this gradient information, we develop a numerical approach to seek the optimal control strategy for a discrete drug administration. …”
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