بدائل البحث:
algorithm within » algorithm its (توسيع البحث)
across function » cost function (توسيع البحث)
algorithm within » algorithm its (توسيع البحث)
across function » cost function (توسيع البحث)
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From Collatz Conjecture to chaos and hash function
منشور في 2023"…These sequences are then utilized within the diffusion and confusion structures of the hashing function. …"
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On the Optimization of Band Gaps in Periodic Waveguides
منشور في 2025"…<h3 dir="ltr">Purpose</h3><p dir="ltr">This work applies a computational framework for vibration attenuation in periodic structures by combining the established wave and finite element (WFE) method with nature-inspired optimization algorithms. The purpose of this work is to provide a systematic comparison of various nature-inspired algorithms across both low-cost analytical and high-fidelity simulation-driven design problems.…"
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Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population
منشور في 2024"…After reaching warfarin maintenance dose, the dose was recalculated using the GWD and median absolute error (MAE) and the percentage of warfarin doses within 20% of the actual dose were calculated and compared for the two algorithms. …"
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Scatter Search algorithm for Protein Structure Prediction
منشور في 2016"…Given the protein's sequence of Amino Acids (AAs), our algorithm produces a 3D structure that aims to minimise the energy function associated with the structure. …"
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Distributed dimension reduction algorithms for widely dispersed data
منشور في 2002"…Stress function measurements indicate that the distributed algorithm is highly competitive with the original FastMap heuristic.…"
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conferenceObject -
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
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masterThesis -
7
Efficient heuristic algorithms for influence propagation in social networks. (c2018)
منشور في 2018"…Then we introduce the notion of an influence propagation function and use it to design an efficient algorithm across all types of networks. …"
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masterThesis -
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A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks
منشور في 2012"…While most existing literature focuses on downlink-only or uplink-only scheduling algorithms, the proposed algorithm aims at ensuring a utility function that jointly captures the quality of service in terms of delay and channel quality on both links. …"
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
منشور في 2024"…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …"
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Scatter search for protein structure prediction. (c2008)
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masterThesis -
14
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…In the next phase, an IRF eliminates the less significant attributes, incorporates a list of decision trees across each iterative process, supervises the classifier’s performance, and prevents overfitting issues. …"
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Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence
منشور في 2020"…Moreover, majority of improvements made by the researchers in optimization techniques have focused on the accuracy of solution and have overlooked the convergence speed of an algorithm. Keeping in view the need of an optimization algorithm with fast convergence speed, suitable for high dimensional data space, this article proposes a novel concept of Multi-Cluster Jumping PSO. …"
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Defense against adversarial attacks: robust and efficient compressed optimized neural networks
منشور في 2024"…First, introducing a pioneering batch-cumulative approach, the exponential particle swarm optimization (ExPSO) algorithm was developed for meticulous parameter fine-tuning within each batch. …"
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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion
منشور في 2024"…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. …"
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Power system output feedback stabilizer design via geneticalgorithms
منشور في 1997"…Various objective functions are presented allowing the selection of the output feedback gains to place the closed loop eigenvalues in the left hand side of a vertical line in the complex s plane, within an open sector in the complex s plane, or within a vertical strip in the complex s plane. …"
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