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    On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems by M. Senthil Arumugam, M. V. C. Rao

    Published 2006-01-01
    “…The PSO algorithm is simulated individually with the three inertia weights separately to compute the optimal control of the single-stage hybrid manufacturing system, and it is observed that the PSO with the proposed inertia weight yields better result in terms of both optimal solution and faster convergence. …”
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    Developing and Analyzing the Defect-Based Surface Codes Using Optimization Algorithms by Samira Sayedsalehi, Nader Bagherzadeh, Alberto A. Del Barrio, Guillermo Botella, Ratko Pilipović

    Published 2025-05-01
    “…With the defect-based approach, we need to account for trade-offs between the number of logical qubits and the logical error rates, so we employ an optimization algorithm to evaluate the maximum number of logical qubits for a given error rate. …”
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    SBOA: A Novel Heuristic Optimization Algorithm by Qi Diao, Apri Junaidi, WengHowe Chan, Azland Mohd Zain Zain, Hao long Yang

    Published 2024-02-01
    “… A new human-based heuristic optimization method, named the Snooker-Based Optimization Algorithm (SBOA), is introduced in this study. …”
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    Coverage optimization algorithm and implementation based on computational graph for mobile communication network and IoT service by Haobin WANG, Wei HUANGFU, Yaxi LIU, Wei LIU

    Published 2019-06-01
    “…The research on the mobile communication network optimization for the Internet of things large connection and differential service quality has great significance.Mobile communication network optimization is a multi-parameter complex optimization problem with high computational cost function.In order to provide the basis for parallelization of operations,the calculation method of the coverage quality assessment of the mobile communication network based on the computational graph was introduced.Based on the calculation graph,the derivative calculation method of the coverage quality index was obtained,by back propagation to guide the optimization of the antenna parameters.The momentum method was used to accelerate the convergence speed of the optimization algorithm.The simulation results show that the algorithm is suitable for the coverage optimization in mobile communication network.…”
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    Hybrid optimized data aggregation for fog computing devices in internet of things by M. Jalasri, S. Manikandan, Arthur Davis Nicholas, S. Gobimohan, Naarisetti Srinivasa Rao

    Published 2024-05-01
    “…In this work, a new and novel hybrid optimization technique based on TABU Search (TS), Particle Swarm Optimization (PSO), and River Formation Dynamics (RFD) algorithms were proposed. …”
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    PERFORMANCE ANALYSIS OF TASK SCHEDULING USING HYBRID GENETIC MODIFIED WHALE OPTIMIZATION ALGORITHM IN CLOUD COMPUTING by S. Kavitha, G. Paramasivam

    Published 2024-08-01
    Subjects: “…hgmwoa (hybrid genetic modified whale optimization algorithm)…”
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    Transforming Precision Agriculture with Quantum Computing: A Novel Algorithm for Boosting Crop Yields and Optimizing Resources by Mukherjee Anshit, Basu Mallik Biswadip

    Published 2025-01-01
    “…This paper proposes a new algorithm of variational quantum computing (VQC), which has showed potential in optimizing crop yield and resource utilisation based on the data sets such as soil quality, climate and genetic makeup of crops. …”
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    Majorisation‐minimisation algorithm for optimal state discrimination in quantum communications by Neel Kanth Kundu, Prabhu Babu, Petre Stoica

    Published 2024-12-01
    “…Abstract Designing optimal measurement operators for quantum state discrimination (QSD) is an important problem in quantum communications and cryptography applications. …”
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    A computation offloading scheme for energy consumption optimization in Internet of vehicles by Wenxuan GAO, Xinjie YANG

    Published 2023-10-01
    “…In Internet of vehicles (IoV), vehicle-oriented applications are generally computation-intensive and latency-sensitive.Introducing idle computing resources from mobile vehicles as a supplement to network computing power can effectively alleviate the load pressure on edge servers.The problem of task allocation for edge computation offloading in the context of IoV environment were researched.By fully leveraging the combined computing resources of roadside units (RSU), user vehicles, and mobile vehicles within the RSU service range, a computation offloading strategy based on the sparrow search algorithm was proposed and referred to as sparrow search based computation offloading scheme (S<sup>2</sup>COS), aiming to optimize the overall system energy consumption.In addition, this strategy fully taked into account practical network issues such as service time constraints caused by vehicle mobility and the potential occurrence of computation node failures.The simulation results demonstrate that S<sup>2</sup>COS can meet the latency requirements for computation-intensive and latency-sensitive tasks, while significantly reducing system energy consumption.…”
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    Metaheuristic Algorithms for Optimization and Feature Selection in Cloud Data Classification Using Convolutional Neural Network by Nandita Goyal, Munesh Chandra Trivedi

    Published 2023-08-01
    “…The proposed system makes a comparison of models with and without feature selection algorithms before applying the data to CNN. A comparison of different metaheuristics algorithms- Particle Swarm Optimization, Shuffled Frog Leap Optimization and Fire fly algorithm for feature optimization is done based on convergence rate and efficiency.…”
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