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Computational Experience On Four Algorithms For The Hard Clustering Problem
Published 2020Get full text
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Tensile Test Optimization Using the Design of Experiment and Soft Computing
Published 2023“…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …”
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Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
Published 2023“…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. …”
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Video features with impact on user quality of experience
Published 2021“…One of the major challenges in wireless networks is to quantify and evaluate the user quality of experience (QoE). …”
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Web Based Online Hybrid Teaching Method of Network Music Course
Published 2022“…In the context of big data, the lengthy personalized screening process of users has become one of the problems to be solved. Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …”
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Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
Published 2006Get full text
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Condenser capacity and hyperbolic perimeterImage 1
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Artificial neural network algorithms. (c1999)
Published 1999Get full text
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Timing driven genetic algorithm for standard-cell placement
Published 1995Get full text
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A hybrid graph representation for exact graph algorithms
Published 2014Get full text
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conferenceObject -
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A new approach to record clustering for large databases. (c1997)
Published 1997Get full text
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masterThesis -
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Fuzzy simulated evolution algorithm for VLSI cell placement
Published 2003“…This approach can be followed by other iterative (meta-) heuristics to find desirable solutions to optimization problems with noisy search space and possibly more than one objective. This approach is dominance preserving, i.e. if a solution A dominates another solution B with respect to all objective criteria, then A will surely have a higher membership in the fuzzy set of good solutions than solution B. …”
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Evolutionary algorithms for VLSI multi-objective netlist partitioning
Published 2006Get full text
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Burst Round Robin as a Proportional-Share Scheduling Algorithm
Published 2020“…In this paper we introduce Burst Round Robin, a proportional-share scheduling algorithm as an attempt to combine the low scheduling overhead of round robin algorithms and favor shortest jobs. …”
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