Improved Group Search Optimization Algorithm for Multi-Objective Optimal Reactive Power Dispatch by Ebrahim Babaei, Alireza Shamlou

“…The ORPD problem is a non-linear, non-convex optimization problem which has various decision variables such as the compensation capacitors proportions, voltages of generators and the tap position of tap changing transformers. …”
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Service Management of Employee Shuttle Service Under Inhomogeneous Fleet Constraints Using Dynamic Linear Programming: A Case Study by Metin Mutlu Aydin, Edgar Sokolovskij, Piotr Jaskowski, Jonas Matijošius

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Model for selective vehicle problem considering mixed fleet with capacitated electric vehicles by Jiacheng Li, Masato Noto, Yang Zhang, Jia Guo

“…This paper considers the self-loading constraints and energy consumption constraints of different types of trucks and establishes a multi-objective optimization model aimed at maximizing service completion, minimizing service energy consumption, and minimizing emission. …”
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Coupled Optimization of UAV Cluster Path Optimization and Task Assignment on a Mobile Platform by Gaohua Fu, Yexin Song, Yanjie Wu

“…This paper focuses on the coupled optimization problem of path optimization and task assignment for UAVs mounted on mobile platforms. …”
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Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops by Xin Yang, Xiaoying Yang, Jinhao Du

“…To solve this problem, an Adaptive Crayfish Optimization Algorithm (ACOA) is introduced. …”
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Optimal control for high-precision repeat ground-track orbits via convex optimization by Yanchao HE, Lei ZHANG, Yijun YANG, Qian CHEN

“…By formulating the optimization problem with multiple objective functions for RGT orbits, the proposed method allows one to compute the initial conditions, thus guaranteeing the repetition of ground tracks with high accuracy and low time consumption via nonlinear optimization techniques. …”
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A Set-Based Method for Planning Coordinated Trajectories for Skid-Steered Robotic Units Subject to Constraints, Uncertainties, and External Disturbances by Valerio Scordamaglia, Alessia Ferraro

“…A key feature is that, at the cost of certain degree of conservatism, the robotic units do not require collision avoidance capabilities to solve online coordination problems during motion. From a methodological point of view, the problem of planning robust and coordinated trajectories that ensure collision-free robot movements is formulated as a graph search problem involving semidefinite programming with constraints in the form of linear matrix inequalities. …”
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A Quantum-Inspired Optimization Strategy for Optimal Dispatch to Increase Heat and Power Efficiency by K. Vanitha, B. Jyothi, R. Seshu Kumar, V. S. Chandrika, Arvind R. Singh, R. M. Naidoo

“…In this research work, a novel quantum-inspired optimization algorithm is proposed for the first time to solve the optimal dispatch problem of CHP systems. …”
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Comparative Review of Multi-Objective Optimization Algorithms for Design and Safety Optimization in Electric Vehicles by I Gede S. S. Dharma, Rachman Setiawan

“…The design problem aimed to maximize energy absorption during impact, enhance crash force efficiency, and optimize temperature difference, all while adhering to design space and operational constraints. …”
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Solution Algorithms for the Capacitated Location Tree Problem with Interconnections by Nidia Mendoza-Andrade, Efrain Ruiz-y-Ruiz, Suemi Rodriguez-Romo

“…This paper addresses the Capacitated Location Tree Problem with Interconnections, a new combinatorial optimization problem with applications in network design. …”
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Broadened-Beam Uniform Rectangular Array Coefficient Design in LEO SatComs Under Quality of Service and Constant Modulus Constraints by Weiting Lin, Yuchieh Wu, Borching Su

“…With this decomposition, the number of beamforming coefficients that need to be optimized is significantly reduced compared to the original URA design problem. …”
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A Maximum Principle for Controlled Time-Symmetric Forward-Backward Doubly Stochastic Differential Equation with Initial-Terminal Sate Constraints by Shaolin Ji, Qingmeng Wei, Xiumin Zhang

“…We study the optimal control problem of a controlled time-symmetric forward-backward doubly stochastic differential equation with initial-terminal state constraints. …”
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Backstepping Output Feedback Control for the Stochastic Nonlinear System Based on Variable Function Constraints with the Subsea Intelligent Electroexecution Robot System by Long-Chuan Guo, Jing Ni, Jing-Biao Liu, Xiang-Kun Fang, Qing-Hua Meng, Yu-Dong Peng

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TSP solution using an exact model based on the branch flow formulation and automatic cases generation via the Julia software by Oscar Danilo Montoya, Walter Gil-González, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños, Jorge Ardila-Rey

“…The traveling salesman problem (TSP) is a classical optimization problem with practical applications in logistics, transportation, and network design. …”
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A Stochastic Nash Equilibrium Problem for Crisis Rescue by Cunlin Li, Yiyan Li

“…The problem is further reformulated as a constraint system governed by Lagrange multipliers, and its optimality is characterized by the Karush–Kuhn–Tucker condition. …”
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Application of Genetic Algorithms in Nonlinear Heat Conduction Problems by Muhammad Bilal Kadri, Waqar A. Khan

“…Genetic algorithms are employed to optimize dimensionless temperature in nonlinear heat conduction problems. …”
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The use of complex structure splines in roadway design by V. I. Struchenkov, D. A. Karpov

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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Improved grey wolf optimizer for optimal reactive power dispatch with integration of wind and solar energy by F. Laouafi

“…It is a nonlinear multivariable problem of optimization, with multiconstraints. The purpose is to minimize real power losses and improve the voltage profile of a given electric system by adjusting control variables, such as generator voltages, tap ratios of a transformer, switching VAr sources, without violating technical constraints that are presented as equalities and inequalities. …”
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