Multi-objective multi-workflow task offloading based on evolutionary optimization by Teliekebieke Misha, Lisheng Sun, Zheng-yi Chai

“…The aforementioned problem is formulated as a multi-objective optimization problem with two objectives: average task completion latency and device energy consumption. …”
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Wakeup strategy based on multi-objective optimization for fixed relay nodes by Xue-bin MA, Ai-li LI, Xiao-juan ZHANG

“…In order to deal with the “tidal effect” when people move in the city and solve the problem of high energy consumption of fixed relay nodes in opportunistic networks,a wakeup strategy of multi-objective optimization was proposed,which made use of the message forward ability and energy consumption of fixed relay nodes.This strategy used energy efficiency as the indicator to make the nodes awake,and deployed a network revenue-energy consumption model to resolve the contradiction between energy consumption and message forward ability.As the selection problem of awake relay nodes was a NP-hard problem,genetic algorithm was used to select proper fixed relay nodes to keep awake.In this process,selection operator was improved to make the algorithm converge to solution space quickly.Experiments show that the proposed wakeup strategy can guarantee the successful rate of message transmission and improve the average message forwarding capabilities of fixed relay nodes by consuming a unit energy.…”
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Adaptive RIS Design and Optimization for Cooperative RIS-Assisted Wireless Systems by Tarun Jain, Sainath Bitragunta, Ashutosh Bhatia

“…Unlike existing approaches that fix the RIS size <italic>K</italic> or assume identical fading on all links, our framework uses long-term statistics to probabilistically choose between two RISs (upper or lower) with arbitrary first-hop fading, and leverages instantaneous channel state information (CSI) on the selected path to solve a convex <italic>K</italic>-sizing problem via a Lagrangian multiplier approach. We derive and present the solution for optimal K, and numerically evaluate the average PHY secrecy capacity and average PHY secrecy efficiency for the proposed optimal strategy. …”
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Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

“…Secondly, it utilizes an Adaptive Levy Flight Motion (ALFM) technique to enhance exploration. The EM problem tackled involves optimizing the scheduling of multiple energy sources, including diesel generators, PV units, and batteries, within a smart building context. …”
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An Adaptive Large Neighborhood Search for the Larger-Scale Instances of Green Vehicle Routing Problem with Time Windows by Zixuan Yu, Ping Zhang, Yang Yu, Wei Sun, Min Huang

“…Therefore, green vehicle routing problem (GVRP), aiming to minimize the total carbon emissions in the transportation, has become a hot issue. …”
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Optimization of Surgical Treatment of Severe Hallux Valgus by Modified Osteosynthesis Method by Yatskevych A.

“…Introduction. Attention to the problem of Valgus deviation of the first toe (VDFT) does not weaken for about 200 years, due to its considerable population distribution (18,0-20,0%), as well as the lack of treatment efficacy, the recurring nature of deformation Aim. …”
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Dimensionality Reduction Optimization of High Subsonic Unmanned Aerial Vehicles Intake by Zeqi QI, Zheng GUO, Suqi CHEN, Ke YU

“…To address the problem of poor aerodynamic performance in the S-shaped intake duct of a subsonic unmanned aerial vehicle (UAV), the study investigates how to optimize its design to achieve the highest possible total pressure recovery coefficient and minimize outlet total pressure distortion. …”
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Optimized DINO model for accurate object detection of sesame seedlings and weeds by Yong Wang, ShunFa Xu, ZhenYuan Ye, KongHao Cheng

“…However, in environments where the target and the surrounding morphology are highly similar, such as distinguishing sesame seedlings from weeds, the problem essentially becomes one of optimizing edge detection algorithms for similar targets. …”
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Towards the design of a particle swarm optimization ontology for object classification by Nyaradzo Alice Tsedura, Ernest Bhero, Colin Chibaya

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Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems by Vivi Aida Fitria, Arif Nur Afandi, Aripriharta

“…This research looks into the Orca Predation Algorithm, an optimization method based on biology that can solve the Economic Dispatch problem for systems with 6, 13, or 15 producing units. …”
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Frequency Optimization Objective during System Prototyping on Multi-FPGA Platform by Mariem Turki, Zied Marrakchi, Habib Mehrez, Mohamed Abid

“…This algorithm is adapted to deal with the inter-FPGA routing problem. Many scenarios are proposed to obtain the most optimized results in terms of prototyping system frequency. …”
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Optimizing Handover Parameters by Q-Learning for Heterogeneous Radio-Optical Networks by Sihua Shao, Guanxiong Liu, Abdallah Khreishah, Moussa Ayyash, Hany Elgala, Thomas D. C. Little, Michael Rahaim

“…Case studies are performed to validate the considerable gain in terms of average throughput by optimizing <inline-formula><tex-math notation="LaTeX">$TTT$</tex-math></inline-formula>s. …”
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Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

“…By iterating the hard threshold operator and transforming the original problem into an approximate non-convex sparse optimization problem, the manifold proximal gradient (ManPG) method is used as a distributed iterative solution. …”
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Task scheduling optimization strategy for roadside unit based on security strength by SU Beipo, DAI Liang, JU Yongfeng

“…This approach involved the development of a vehicle speed state model, a task encryption model, a data cache queue model, and a task calculation model, along with the formulation of an optimization objective function. The optimization model was subsequently transformed using Lyapunov optimization theory and was reformulated as a knapsack problem for resolution. …”
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IMP‐DETR: Optimization model for defect detection of injection‐moulded products by Anzhan Liu, Lei Han

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Coverage Capacity Optimization for Mobile Sensor Networks Based on Evolutionary Games by Jianhua Liu, Guangxue Yue, Shigen Shen, Huiliang Shang, Hongjie Li

“…The optimal and distributed provisioning of high coverage capacity in mobile sensor networks is known as a fundamental but hard problem. …”
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Scheduling of the inbound and outbound trucks at a Cross-Docking platform considering mutualization of docks by Natalia Cordoba, Alejandro Montoya

“…For the remaining instances, the MILP formulation obtains an average optimized gap of 8.95%. Implications for theory and practice The MILP formulation obtains acceptable results. …”
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Methods of effective media as optimal methods for modeling the physical properties of nanostructures by A. N. Yurasov, M. M. Yashin

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Distributed Task Allocation for Multiple UAVs Based on Swarm Benefit Optimization by Yiting Chen, Runfeng Chen, Yuchong Huang, Zehao Xiong, Jie Li

“…The auction mechanism stands as a pivotal distributed solution approach for addressing the task allocation problem in unmanned aerial vehicle (UAV) swarms, with its rapid solution capability well-suited to meet the real-time requirements of aerial mission planning for UAV swarms. …”
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SOI: shape optimization framework for hand-drawn line features in Wemap by Ben Ma, Haowen Yan, Jingzhong Li, Yanzhe Sun, Zhuo Wang, Xiaolong Wang

“…However, due to finger occlusion and screen resolution limitations, user-drawn line features have an irregular shape and an uneven density of point coordinates composing a line, leading a we-map has a challenge in ensuring both visual appeal and informational clarity. To address this problem, this study proposes a Segment-Optimize-Integrate (SOI) framework based on the ‘divide and conquer’ strategy, aiming to optimize the geometry of hand-drawn lines. …”
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