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  1. 41

    Boosting the visibility of services in microservice architecture by Ahmet Vedat Tokmak (17773479)

    Published 2023
    “…These assessments can be performed by means of a live health-check service, or, alternatively, by making a prediction of the current state of affairs with the application of machine learning-based approaches. In this research, we evaluate the performance of several classification algorithms for estimating the quality of microservices using the QWS dataset containing traffic data of 2505 microservices. …”
  2. 42

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

    Published 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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  3. 43

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

    Published 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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  4. 44

    Evolutionary algorithm for protein structure prediction by Mansour, Nashat

    Published 2010
    “…A protein is characterized by its 3D structure, which defines its biological function. …”
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    A new multimodulus blind equalization algorithm by Abrar, Shafayat

    Published 2004
    “…The proposed algorithm is obtained by removing the discontinuity found in the RCA cost function. …”
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    A new genetic algorithm approach for unit commitment by Mantawy, A.H.

    Published 1997
    “…A fitness function is constructed from the total operating cost of the generating units without penalty terms. …”
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  11. 51

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

    Published 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
  12. 52

    Distributed dimension reduction algorithms for widely dispersed data by Abu-Khzam, F.N.

    Published 2002
    “…Stress function measurements indicate that the distributed algorithm is highly competitive with the original FastMap heuristic.…”
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  13. 53

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

    Published 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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  14. 54

    Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review by Yazeed Yasin Ghadi (16667109)

    Published 2024
    “…Moreover, this study also addresses issues of adapting machine learning algorithms to accommodate the sensors’ functionalities in the network configuration. …”
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    Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning by Sait, Sadiq M.

    Published 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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  18. 58

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

    Published 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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  19. 59

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

    Published 2022
    “…The results show that the performance of the SCA-βHC algorithm is increased by tuning its parameters in proper value. …”
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  20. 60

    Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy by El-Ferik, S

    Published 2020
    “…Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter's sensitivity to different changes in cost factors. …”
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