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361
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
منشور في 2024"…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …"
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362
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
منشور في 2024"…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …"
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363
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
منشور في 2024"…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …"
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364
Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
منشور في 2018"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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article -
365
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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article -
366
Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
منشور في 2023"…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
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367
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
منشور في 2023"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"
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368
Exam scheduling algorithms. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
369
Minimum UAV fog servers with maximum IoT devices association using genetic algorithms
منشور في 2021"…We then propose a heuristic sub-optimal approach based on genetic algorithm (GA) to decide on the minimum number of UAVs to be deployed and the IoT-to-UAV association. …"
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conferenceObject -
370
Artificial neural network algorithms. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
371
Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
منشور في 2022"…To address the above mentioned issues, this paper employs a meta-heuristic algorithm for tuning the parameters of the neural network. …"
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372
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
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masterThesis -
373
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
منشور في 2010"…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
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article -
374
DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs
منشور في 2025"…By deploying a deep reinforcement learning algorithm, we find optimal UAV paths based on the two families of trajectories: spiral and oval curves, to tackle different design considerations and constraints, in terms of QoS, energy consumption and coverage hole avoidance. …"
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375
Power-constrained system-on-a-chip test scheduling using a genetic algorithm
منشور في 2006"…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. The method minimizes the overall test application time of a system-on-a-chip through efficient and compact test schedules. …"
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article -
376
Scatter Search algorithm for Protein Structure Prediction
منشور في 2016"…We evaluate our algorithm on three proteins taken from a Protein Data Bank (PDB). …"
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article -
377
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378
Parallel scatter search algorithms for exam timetabling. (c2009)
منشور في 2009احصل على النص الكامل
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masterThesis -
379
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380
A stochastic iterative learning control algorithm with application to an induction motor
منشور في 2004"…The convergence characteristics are shown to be similar to the ones of the optimal recursive algorithm. The proposed ILC algorithms are applied to two different models of an induction motor for angular speed tracking control. …"
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article