يعرض 21 - 40 نتائج من 121 نتيجة بحث عن '(( algorithm where function ) OR ((( algorithm goa function ) OR ( algorithm cost function ))))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 21

    Distributed optimal coverage control in multi-agent systems: Known and unknown environments حسب Mohammadhasan Faghihi (22303057)

    منشور في 2024
    "…The proposed approach leverages a novel cost function for optimizing the agents’ coverage and the cost function eventually aligns with the conventional Voronoi-based cost function. …"
  2. 22

    On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

    منشور في 2025
    "…<h3 dir="ltr">Purpose</h3><p dir="ltr">This work applies a computational framework for vibration attenuation in periodic structures by combining the established wave and finite element (WFE) method with nature-inspired optimization algorithms. The purpose of this work is to provide a systematic comparison of various nature-inspired algorithms across both low-cost analytical and high-fidelity simulation-driven design problems.…"
  3. 23

    Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT) حسب AlHamaydeh, Mohammad

    منشور في 2017
    "…The two versions of the optimization problem are nonlinearly constrained where the objective function is the material weight of the supporting truss. …"
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    article
  4. 24

    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
  5. 25

    Evolutionary algorithm for protein structure prediction حسب Mansour, Nashat

    منشور في 2010
    "…A protein is characterized by its 3D structure, which defines its biological function. The protein structure prediction problem has real-world significance where several diseases are associated with the wrong folding of proteins. …"
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    conferenceObject
  6. 26

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

    منشور في 2006
    "…Fuzzy rules are incorporated in order to handle the multiobjective cost function. For SimE, fuzzy goodness functions are designed for delay and power, and proved efficient. …"
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    article
  7. 27
  8. 28

    A new multimodulus blind equalization algorithm حسب Abrar, Shafayat

    منشور في 2004
    "…The proposed algorithm is obtained by removing the discontinuity found in the RCA cost function. …"
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    article
  9. 29

    An improved kernelization algorithm for r-Set Packing حسب Abu-Khzam, Faisal N.

    منشور في 2010
    "…We present a reduction procedure that takes an arbitrary instance of the r -Set Packing problem and produces an equivalent instance whose number of elements is in O(kr−1), where k is the input parameter. Such parameterized reductions are known as kernelization algorithms, and a reduced instance is called a problem kernel. …"
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    article
  10. 30
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    A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

    منشور في 1997
    "…A fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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    article
  12. 32

    Evolutionary algorithms for VLSI multi-objective netlist partitioning حسب Sait, Sadiq M.

    منشور في 2006
    "…Fuzzy rules are incorporated in order to handle the multi-objective cost function. For SimE, fuzzy goodness functions are designed for delay and power, and proved efficient. …"
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    article
  13. 33

    An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis حسب Harmanani, Haidar

    منشور في 2005
    "…The method performs allocation of functional units, registers, and multiplexers in addition to controller synthesis with the objective of minimizing the cost of hardware resources. …"
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    article
  14. 34

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

    منشور في 2003
    "…Fuzzy rules are used in order to design the overall multi-objective cost function that integrates the costs of three objectives in a single overall cost value. …"
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    article
  15. 35

    A genetic-based algorithm for fuzzy unit commitment model حسب Mantawy, A.H.

    منشور في 2000
    "…In the implementation for the GA, coding of the UCP solutions is based on mixing binary and decimal representations. A fitness function is constructed from the total operating cost of the generating units plus a penalty term determined due to the fuzzy load and spinning reserve membership functions. …"
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    article
  16. 36

    A comparative study of RSA based digital signature algorithms حسب Haraty, Ramzi A.

    منشور في 2006
    "…We implement the classical and modified RSA cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we implement attack algorithms to solve the factorization problem in Z, Z[<i>i</i>] and F[<i>x</i>]. …"
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    article
  17. 37

    Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

    منشور في 2022
    "…In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. ELD is tackled by assigning a set of generation units with a minimum fuel costs to generate predefined load demand with accordance to a set of equality and inequality constraints. …"
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  18. 38

    Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem حسب Mantawy, A.H.

    منشور في 1999
    "…The fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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    article
  19. 39
  20. 40

    Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images حسب Abu Zitar, Raed

    منشور في 2023
    "…The solutions are evaluated using Otsu's fitness function throughout the optimization process. The picture histogram is used to display the algorithm's potential solutions. …"
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