Search alternatives:
method algorithm » mould algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
Showing 121 - 140 results of 613 for search '(( elements method algorithm ) OR ((( data rd algorithm ) OR ( problem using algorithm ))))', query time: 0.13s Refine Results
  1. 121
  2. 122

    Fuzzy genetic algorithm for floorplanning by Youssef, H.

    Published 2020
    “…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …”
    Get full text
    article
  3. 123

    BUC algorithm for iceberg cubes by Nasr, George E.

    Published 2003
    “…The Uniform distribution is used as a basis for comparison. Results show that when the cube is sparse there is a correlation between the data distribution and the running time of the algorithm. …”
    Get full text
    Get full text
    Get full text
    conferenceObject
  4. 124
  5. 125
  6. 126

    Nonlinear analysis of shell structures using image processing and machine learning by M.S. Nashed (16392961)

    Published 2023
    “…In general, such problems in design optimisation or virtual reality applications must be solved repetitively in a short period using direct methods such as nonlinear finite element analysis. …”
  7. 127
  8. 128

    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  9. 129

    A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm by Harmanani, Haidar M.

    Published 2017
    “…This paper presents a multiobjective optimization approach for the SOC test scheduling problem. The method uses a Strength Pareto Evolutionary Algorithm that minimizes the overall test application time in addition to power, wrapper design and TAM assignment. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  10. 130

    The monotone circuit value problem with bounded genus is in NC by Abu-Khzam, Faisal N.

    Published 2017
    “…We present an efficient parallel algorithm for the general Monotone Circuit Value Problem (MCVP) with n gates and an underlying graph of bounded genus k. …”
    Get full text
    Get full text
    Get full text
    Get full text
    conferenceObject
  11. 131
  12. 132

    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization by Abu Zitar, Raed

    Published 2024
    “…The IPDOA performance was compared with the other 8 metaheuristic optimization algorithms and the testing showed its superiority over those techniques for solving this complex problem. …”
    Get full text
  13. 133
  14. 134

    A comparison of optimization heuristics for the data mapping problem by Mansour, Nashat

    Published 1997
    “…In this paper we compare the performance of six heuristics with suboptimal solutions for the data mapping problem of two dimensional meshes that are used for the numerical solution of Partial Differential Equations(PDEs) on multicomputers. …”
    Get full text
    Get full text
    Get full text
    article
  15. 135

    Squirrel Search Algorithm for Portfolio Optimization by Dhaini, Mahdi

    Published 2019
    “…However, the successes of nature-inspired algorithms in hard computational optimization problems have encouraged researchers to design and apply these algorithms for a variety of optimization problems. …”
    Get full text
    Get full text
    Get full text
    masterThesis
  16. 136

    Stochastic Search Algorithms for Exam Scheduling by Mansour, Nashat

    Published 2007
    “…A good exam schedule should aim to minimize conflicts and the two unfairness factors based on user-assigned weights to these three factors and subject to some constraints such as classrooms’ number and capacities. In this work, we use a modified weighted-graph coloring problem formulation and adapt two stochastic search algorithms for solving the problem. …”
    Get full text
    Get full text
    article
  17. 137
  18. 138

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

    Published 2006
    “…A series of experiments are performed to evaluate the efficiency of the algorithms. ISCAS-85/89 benchmark circuits are used and experimental results are reported and analyzed to compare the performance of GA, TS and SimE. …”
    Get full text
    article
  19. 139
  20. 140