يعرض 1 - 20 نتائج من 96 نتيجة بحث عن '((rsolutionary OR rsolutionary) OR evolution) (algorithms OR algorithm)', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 1

    Stochastic evolution algorithm for technology mapping حسب Al-Mulhem, A.S.

    منشور في 1998
    "…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …"
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    article
  2. 2

    Adaptive bias simulated evolution algorithm for placement حسب Youssef, H.

    منشور في 2001
    "…Simulated Evolution (SE) is a general meta-heuristic for combinatorial optimization problems. …"
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    article
  3. 3

    Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

    منشور في 2000
    "…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …"
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    article
  4. 4
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    Fuzzy simulated evolution algorithm for VLSI cell placement حسب Sait, Sadiq M.

    منشور في 2003
    "…In this paper, we present a fuzzy simulated evolution (FSE) algorithm to tackle this problem. Identification of near optimal solutions is achieved through a novel goal-directed fuzzy search approach. …"
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  6. 6
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    Fuzzy simulated evolution algorithm for multi-objectiveoptimization of VLSI placement حسب Sait, Sadiq M.

    منشور في 1999
    "…A fuzzy simulated evolution algorithm is presented for multi-objective minimization of VLSI cell placement problem. …"
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    article
  8. 8

    Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning حسب Sait, Sadiq M.

    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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    article
  9. 9
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    Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

    منشور في 2020
    "…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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  11. 11

    Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

    منشور في 2020
    "…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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    article
  12. 12

    A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks حسب El-Abd, Mohammed

    منشور في 2024
    "…To address these challenges, we introduce a novel two-level clustering-based differential evolution approach, C2L-DE, to identify the initial seed for a gradient-based algorithm. …"
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  13. 13

    Performance Assessment of Foraging Algorithms vs. Evolutionary Algorithms حسب El-Abd, Mohammed

    منشور في 2012
    "…This work provides a complete performance assessment of the four mentioned algorithms in comparison to the widely known differential evolution (DE), genetic algorithms (GAs), harmony search (HS), and particle swarm optimization (PSO) algorithms when applied to the problem of unconstrained nonlinear continuous function optimization. …"
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  14. 14
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    An evolutionary algorithm for network topology design حسب Youssef, H.

    منشور في 2001
    "…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …"
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    article
  16. 16

    Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning حسب Sait, Sadiq M.

    منشور في 2006
    "…These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …"
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  17. 17

    Island flower pollination algorithm for global optimization حسب Al-Betar, Mohammed Azmi

    منشور في 2019
    "…Flower pollination algorithm (FPA) is a recent swarm-based evolutionary algorithm that was inspired by the biological evolution of pollination of the flowers. …"
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    A Novel Essential Mutation Method for Evolutionary Algorithms حسب Abou Doush, Iyad

    منشور في 2022
    "…It can enhance the algorithm exploration of the problem search space and improve the evolution process. …"
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