Multi-objective Optimization of Dimensional Parameter for 4-PRP_aR Parallel Mechanism by Jian Yi, Bing He, Linxian Che, Jie Li

“…The evaluation indices for motion and force transmission performance of mechanism are established， and the definition of regular effective transmission workspace （RETW） and its average transmission indices are presented. A multi-objective optimization model is constructed to formulate the design problem of dimensional parameters on the maximizing radius of RETW and average transmission indices， and the fast and elitist multi-objective genetic algorithm combined with differential evolution algorithm is used to solve this problem. …”
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OPTIMIZING THE PLACEMENT OF A BATCH OF WORK-PIECES AT A MULTI-POSITION ROTARY TABLE OF TRANSFER MACHINE by N. N. Guschinsky, B. M. Rozin

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Optimal Utilization of Ports’ Free-of-Charge Times in One Distribution Center and Multiple Ports Inventory Systems by Zhengyi Li

“…Focusing on stationary and integer-ratio policies, we formulate this inventory management problem as an optimization problem with a convex objective function and a set of integer-ratio constraints and present O(Nlog⁡N) time algorithm to solve the relaxed problem (relaxing the integer-ratio constraints) to optimality, where N is the number of the retailers. …”
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Optimization method of building energy efficiency design based on decomposition multi objective and agent assisted model by Bai Chaoqin, Yang Zhuoyue

“…The proposed method decomposes complex architectural design problems into multiple manageable sub problems, with each sub problem optimized for a specific design objective. …”
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Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques by Pei-Yu Chen, Frank Yeong-Sung Lin

“…In the approach to solving this problem, the “gradient method” and “game theory” are adopted to find the optimal resource allocation strategies for both the cyber attacker and mobile network defender.…”
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Path planning algorithm for WCE with joint energy replenishment and data collection based on multi-objective optimization by Zhenchun WEI, Renhao SUN, Zengwei LYU, Jianghong HAN, Lei SHI, Junyi XU

“…Considering limited energy of the wireless charging equipment (WCE) in wireless rechargeable sensor network,an energy replenishment strategy and a data collection strategy are designed.On the basis of these,a path planning model for WCE with functions of joint energy replenishment and data collection based on multi-objective optimization is constructed with two optimization objectives,maximizing the total energy utility of WCE and minimizing the average delay of data transmission of all the sensor nodes in the network.To deal with it,a multi-objective ant colony optimization algorithm based on elitist strategy was proposed,where the state transition strategy and the pheromone updating strategy were improved.Then,the Pareto set was obtained in terms of this multi-objective optimization problem.The parameter setting of ant colony algorithm’s effects on the proposed algorithm were analyzed under 20 sensor nodes.50 groups of contrastive experiments show that the average number of energy utilization obtained by ES-MOAC algorithm is 4.53% higher than that of NSGA-II algorithm.The average number of average delay of all node data transmission obtained by ES-MOAC algorithm is 5.12% lower than that of NSGA-II algorithm.…”
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Inertial-relaxed splitting for composite monotone inclusions by Oré, Ernesto, Mahey, Philippe, Ocaña, Eladio

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Research on Optimal Energy Efficiency of OFDM VLC-RF Aggregation System Based on Finite Alphabet Inputs by LU Shanmei, FANG Xiao, HE Lingyan, LI Bing, MA Shuai, LI Shiyin

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Optimization of Bandwidth Allocation and UAV Placement in Active RIS-Assisted UAV Communication Networks with Wireless Backhaul by Thi-Thuy-Minh Tran, Binh-Minh Vu, Oh-Soon Shin

“…The resulting optimization problem is highly non-convex, posing significant challenges. …”
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Intelligent optimization method for hazardous materials transportation routing with multi-mode and multi-criterion collaborative constraints by Fan Chen, Qing Zhu

“…Abstract Hazardous materials transportation route optimization problem is a pressing issue, and multi-dimensional evaluation criteria and diversified transportation modes complicate the problem. …”
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DDPG-based performance optimization algorithm for IRS-assisted simultaneous wireless information and power transfer systems by LUO Liping, PAN Weimin

“…To solve the non-convex optimization problem, a deep deterministic policy gradient (DDPG) algorithm based on deep reinforcement learning was proposed. …”
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Deep Reinforcement Learning-Based Joint Routing and Capacity Optimization in an Aerial and Terrestrial Hybrid Wireless Network by Zhe Wang, Hongxiang Li, Eric J. Knoblock, Rafael D. Apaza

“…Given the concept of spectrum sharing between aerial and terrestrial users in ATHN, we formulate a joint routing and capacity optimization (JRCO) problem, which is a multi-stage combinatorial problem subject to the curse of dimensionality. …”
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Consideration of Vehicular and Pedestrian Flows in A Multi-Modal Traffic Signal Optimization Strategy for Isolated Intersections by Wael Alhajyaseen, Meng LI

“…MATLAB is used to solve the optimization problem and to output a set of measures of effectiveness (MOEs). …”
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Joint Beamforming, Scheduling, Trajectory, and Transmit Power Optimization in UAV-Assisted ISAC Systems for Information Freshness by Yuting He, Qingjie Wu, Miao Cui, Yuan Peng, Guangchi Zhang, Wei Chen

“…To solve the optimization problem in a low-complexity manner, we first derive a closed-form solution for the transmit beamforming. …”
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Stackelberg game based energy optimization for unmanned aerial vehicle assisted wireless-powered Internet of things by Xumin HUANG, Yang ZHANG, Rong YU, Li JIANG, Hui TIAN, Yuan WU

“…The technology integrating unmanned aerial vehicles (UAV) with wireless power transfer is applied to provide energy supply for Internet of things devices.A Stackelberg game scheme was further proposed to tackle the problem on free and fair energy trading between a charging user and multiple UAV.The user played as a game leader and determined the rewards while each UAV played as a game follower, which competed for the rewards through the energy supply, and refered to the average channel gain during the wireless power transfer to determine the charging time for the user.The Stackelberg equilibrium solution was analyzed and derived by the backward induction method.Simulation results show that the proposed scheme can effectively reduce the economic cost for the user in the energy trading, thereby improving user satisfaction and achieving the user-side energy optimization.…”
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Addressing the Return Visit Challenge in Autonomous Flying Ad Hoc Networks Linked to a Central Station by Ercan Erkalkan, Vedat Topuz, Ali Buldu

“…Despite over a decade of experimental efforts in multi-UAV systems, substantial theoretical challenges concerning coordination mechanisms still need to be solved, particularly in maintaining network connectivity and optimizing routing. Current research has revealed the absence of an efficient algorithm tailored for the routing problem of multiple UAVs connected to a central station, especially under the constraints of maintaining constant network connectivity and minimizing the average goal revisit time. …”
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Resilient Transportation Network Design under Uncertain Link Capacity Using a Trilevel Optimization Model by Mohammad Rahdar, Lizhi Wang, Jing Dong, Guiping Hu

“…The results of solving the highway network in Iowa show that the trilevel optimization model improves the total travel time by an average of 41%.…”
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Optimal scheduling of district heat pumps conceived for implementation in Energy Management Systems to participate in demand response by Roberto Rocca, Stefano Leonori, Gregorio Fernández Aznar, Riccardo Toffanin, Luis Luengo-Baranguan

“…To this end, this work proposes a novel formulation of the optimal scheduling problem of district-level HPs, conceived for EMS implementation, and based on a quadratic programming algorithm, with a specific objective function for IDR and DDR. …”
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Optimization of a Semiflexible Demand-Responsive Feeder System in Suburban Areas Using a Memetic Algorithm by Fabio Sartori Vieira, Kenneth Sorensen, Pieter Vansteenwegen

“…A memetic algorithm is developed to optimize this demand-responsive system. For a network with 25 bus stops served hourly by three lines and with an average demand of 20 requests per hour, the memetic algorithm is demonstrated to reduce the passenger waiting time with almost 50% in comparison with a traditional system operating in the same network with fixed routes and timetable.…”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…This is achieved by transforming the optimization problem of node localization results into an optimization problem for the node objective function. …”
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