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  1. 221

    A simulated annealing algorithm for the capacitated vehicle routing problem by Azar, Danielle

    Published 2011
    “…In this paper, we present a meta-heuristic approach for solving the CVRP based on simulated annealing. The algorithm uses a combination of random and deterministic operators that are based on problem knowledge information. …”
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  4. 224

    Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

    Published 2007
    “…The method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and interconnects. The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
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    article
  5. 225

    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

    Published 2024
    “…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
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    masterThesis
  6. 226

    An optimization approach for the computation of the minimumdestabilizing uncertainty volume by Al-Sunni, F.M.

    Published 2000
    “…We propose a nonlinear optimization based algorithm for the computation of the stability region for uncertain polynomials. …”
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    article
  7. 227

    Island artificial bee colony for global optimization by Abu Doush, Iyad

    Published 2020
    “…This paper proposes an efficient version of artificial bee colony (ABC) algorithm based on the island model concepts. The new version is called the island artificial bee colony (iABC) algorithm. …”
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  8. 228

    Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller by Abualigah, Laith

    Published 2024
    “…Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. …”
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  9. 229

    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition by Dabeeruddin Syed (16864260)

    Published 2021
    “…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …”
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    Dynamic performance evaluation and machine learning-assisted optimization of a solar-driven system integrated with PCM-based thermal energy storage: A case study approach by Haitham Osman (11737057)

    Published 2025
    “…<p>This paper presents the design, modeling, and multi-objective optimization of an advanced solar energy system based on concentrated solar power technology, aimed at sustainable electricity generation in urban environments. …”
  12. 232

    A new multiobjective evolutionary algorithm forenvironmental/economic power dispatch by Abido, A.A.

    Published 2001
    “…A new nondominated sorting genetic algorithm (NSGA) based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and noncommensurable objectives. …”
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    article
  13. 233

    A modified ant colony algorithm for evolutionary design of digital circuits by Sait, Sadiq M.

    Published 2003
    “…In this paper, a multiobjective optimization of logic circuits based on a modified ant colony (ACO) algorithm is presented. …”
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    article
  14. 234

    Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

    Published 2005
    “…Evolutionary algorithms have been effective in solving many search and optimization problems. …”
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    article
  15. 235
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    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models by Azar, Danielle

    Published 2010
    “…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …”
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    article
  17. 237

    A stochastic iterative learning control algorithm with application to an induction motor by Saab, Samer S.

    Published 2004
    “…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …”
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    article
  18. 238

    Stochastic P-type/D-type iterative learning control algorithms by Saab, Samer S.

    Published 2003
    “…The optimal algorithm is based on minimizing the trace of the input error covariance matrix. …”
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    article
  19. 239

    Hybrid Cooperative Co-evolution for Large Scale Optimization by El-Abd, Mohammed

    Published 2016
    “…In CC, multiple instances of the same evolutionary algorithm work in parallel, each optimizes a different subset of the problem in hand. …”
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  20. 240

    On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise by Saab, Samer S.

    Published 2005
    “…Furthermore, a suboptimal second-order ILC is proposed for a class of nonlinear systems. Based on a numerical example, it is shown that a compatible suboptimal first-order ILC yields better performance than the proposed suboptimal second-order ILC algorithm.…”
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