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Stochastic evolution algorithm for technology mapping
منشور في 1998احصل على النص الكامل
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2
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Fuzzy simulated evolution algorithm for topology design of campusnetworks
منشور في 2000"…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …"
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4
Fuzzy simulated evolution algorithm for VLSI cell placement.
منشور في 1998احصل على النص الكامل
masterThesis -
5
Fuzzy simulated evolution algorithm for VLSI cell placement
منشور في 2003احصل على النص الكامل
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6
Fuzzy simulated evolution algorithm for multi-objectiveoptimization of VLSI placement
منشور في 1999"…A fuzzy simulated evolution algorithm is presented for multi-objective minimization of VLSI cell placement problem. …"
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7
Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
منشور في 2003"…In this paper the Simulated Evolution algorithm (SimE) is engineered to solve the optimization problem of multi-objective VLSI netlist bi-partitioning. …"
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8
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
منشور في 2020"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. The overall cost function has been developed using fuzzy logic. …"
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9
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
منشور في 2020"…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. The overall cost function has been developed using fuzzy logic. …"
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10
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Fuzzified iterative algorithms for performance driven low powerVLSI placement
منشور في 2001"…In this paper we employ fuzzified simulated evolution and stochastic evolution algorithms for VLSI. standard cell placement targeting low power dissipation and high performance. …"
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13
A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS
منشور في 2020"…In this paper, we present a Simulated Evolution algorithm for the design of campus network topology. …"
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14
An evolutionary algorithm for network topology design
منشور في 2001"…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …"
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15
A METHODOLOGY FOR NETWORK TOPOLOGY DESIGN USING FUZZY EVALUATIONS
منشور في 2020"…This methodology is based on two algorithms, namely, fuzzy simulated evolution algorithm and the augmenting path algorithm. Test cases are used to evaluate the effectiveness of the methodology. …"
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16
Simulated evolution for timing and low power VLSI standard cell placement
منشور في 2020"…Abstract This paper presents a Fuzzy Simulated Evolution algorithm for VLSI standard cell placement with the objective of minimizing power, delay and area. …"
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17
Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training
منشور في 2023"…In this paper, we present Cen-CoDE, a centroid-based differential evolution algorithm with composite trial vector generation strategies and control parameters to train neural networks. …"
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18
2022 IEEE Congress on Evolutionary Computation (CEC)
منشور في 2022"…The success of differential evolution algorithm depends on its offspring breeding strategy and the associated control parameters. …"
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19
Logarithmic spiral search based arithmetic optimization algorithm with selective mechanism and its application to functional electrical stimulation system control
منشور في 2022"…The latter algorithm was constructed using the logarithmic spiral (Ls) search mechanism from the whale optimization algorithm and the greedy selection scheme from the differential evolution algorithm. The proposed algorithm (Ls-AOA) was tested against unimodal and multimodal benchmark functions and demonstrated better capability comparatively using other efficient metaheuristic algorithms reported in the literature. …"
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Performance Modeling of Rooftop PV Systems in Arid Climate, a Case Study for Qatar: Impact of Soiling Losses and Albedo Using PVsyst and SAM
منشور في 2025"…To overcome these limitations, the Humboldt State University (HSU) soiling model was calibrated using field measurements from a DustIQ sensor, and its parameters, rainfall cleaning threshold and particulate deposition velocity were optimized through a Differential Evolution algorithm. Additionally, the study utilized dynamic albedo inputs to better account for ground-reflectance effects in energy yield simulations. …"