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Showing 261 - 280 results of 348 for search '(( algorithm where function ) OR ((( algorithm its function ) OR ( algorithm a function ))))', query time: 0.12s Refine Results
  1. 261
    Timing influenced general-cell genetic floorplanner

    Timing influenced general-cell genetic floorplanner by Sait, Sadiq M.

    Published 2020
    “…In this paper we present a timing-influenced floorplanner for general cell IC design. …”
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  2. 262
    Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement

    Fast force-directed/simulated evolution hybrid for multiobjective VLSI cell placement by Sait, Sadiq M.

    Published 2004
    “…In this work, a fast hybrid algorithm is designed to address this problem. …”
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  3. 263
    Optimal shunt compensators at nonsinusoidal busbars

    Optimal shunt compensators at nonsinusoidal busbars by El-Amin, I.M.

    Published 1995
    “…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …”
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  4. 264
    Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques

    Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques by Kais Abdulmawjood (17947784)

    Published 2025
    “…In the first stage, the WPT is used to split the PV voltage and string currents into specific sub-band frequencies, and then EMD is used to decompose the selected frequency bands into a number of intrinsic mode functions (IMFs) and a residual. …”
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  5. 265
    Optimizing clopidogrel dose response

    Optimizing clopidogrel dose response by Saab, Yolande B.

    Published 2016
    “…Purpose Response to clopidogrel varies widely with nonresponse rates ranging from 4% to 30%. A reduced function of the gene variant of the CYP2C19 has been associated with lower drug metabolite levels, and hence diminished platelet inhibition. …”
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  6. 266
    OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS

    OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS by El-Amin, I.M.

    Published 2020
    “…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …”
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  7. 267
    Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility

    Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility by Islambouli, Rania

    Published 2019
    “…We present performance results for the algorithm as a function of various system parameters assuming a random walk mobility model. …”
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  8. 268
    Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition

    Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition by Abboud, Ralph

    Published 2019
    “…Unlike existing solutions, MUSEC is: (i) a hybrid crossover between supervised learning (SL, to learn sentiments from music) and evolutionary computation (for music composition, MC), where SL serves at the fitness function of MC to compose music that expresses target sentiments, (ii) extensible in the panel of emotions it can convey, producing pieces that reflect a target crisp sentiment (e.g., love) or a collection of fuzzy sentiments (e.g., 65% happy, 20% sad, and 15% angry), compared with crisp-only or two-dimensional (valence/arousal) sentiment models used in existing solutions, (iii) adopts the evolutionary-developmental model, using an extensive set of specially designed music-theoretic mutation operators (trille, staccato, repeat, compress, etc.), stochastically orchestrated to add atomic (individual chord-level) and thematic (chord pattern-level) variability to the composed polyphonic pieces, compared with traditional evolutionary solutions producing monophonic and non-thematic music. …”
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  9. 269
    Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity

    Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity by Maryam Shahriari-kahkeshi (17269051)

    Published 2021
    “…The dead-zone nonlinearity is described by an uncertain nonlinear function of the control input which can represent a wide class of practical input nonlinearities. …”
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  10. 270
    Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization

    Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization by De Rochechouart, Maxence

    Published 2023
    “…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …”
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  11. 271
    Optimization metaheuristic for software testing

    Optimization metaheuristic for software testing by Mansour, Nashat

    Published 2013
    “…SA evolves a solution by minimizing a function that is based on the contradictory objectives of coverage of events, diversity of events covered, and definite continuity of events. …”
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  12. 272
    Simultaneous stabilisation of power systems using geneticalgorithms

    Simultaneous stabilisation of power systems using geneticalgorithms by Abdel-Magid, Y.L.

    Published 1997
    “…The problem of selecting the parameters of a power system stabiliser which simultaneously stabilises this set of plants is converted to a simple optimisation problem which is solved by a genetic algorithm and an eigenvalue-based objective function. …”
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  13. 273
    Contingency analysis of bulk power system using neural networks

    Contingency analysis of bulk power system using neural networks by Maghrabi, H.

    Published 1998
    “…The performance of the RBFN is compared with a standard AC load flow algorithm…”
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  14. 274
    Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management

    Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management by Alhusin, Mohammed Omer Alamin

    Published 2019
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  15. 275
    Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP

    Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP by Abdelhafez, Nada

    Published 2021
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  16. 276
    IMPROVING BER PERFORMANCE OF LDPC CODES BASED ON INTERMEDIATE DECODING RESULTS

    IMPROVING BER PERFORMANCE OF LDPC CODES BASED ON INTERMEDIATE DECODING RESULTS by Alghonaim, Esa

    Published 2007
    “…The behavior of the BP algorithm is first investigated as a function of number of decoder iterations, and it is shown that typical uncorrected error patterns can be classified into 3 categories: oscillating, nearly-constant, or random-like, with a predominance of oscillating patterns at high Signal-to-Noise (SNR) values. …”
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  17. 277
    Heuristics for graph decomposition

    Heuristics for graph decomposition by Mansour, N.

    Published 2000
    “…To find a reasonable solution to this intractable problem, we suggest an approximate objective function that can be minimized by heuristic procedures. …”
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  18. 278
    Fragment based protein structure prediction. (c2013)

    Fragment based protein structure prediction. (c2013) by Terzian, Meghrig Ohanes

    Published 2016
    “…The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …”
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  19. 279
    Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing

    Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing by Xin Li (51274)

    Published 2020
    “…Subsequently, we propose a method to measure the cost-effectiveness of allocated resources and energy savings, named value density function. …”
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  20. 280
    Anonymizing multimedia documents

    Anonymizing multimedia documents by Haraty, Ramzi

    Published 2016
    “…We provide a sanitizing MD∗-algorithm to enforce de-linkability along with a utility function to evaluate the utility of multimedia documents that is preserved after the sanitizing process. …”
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