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  1. 1
    Evolutionary algorithms, simulated annealing and tabu search: a comparative study

    Evolutionary algorithms, simulated annealing and tabu search: a comparative study by Youssef, H.

    Published 2020
    “…The benchmark problem used is the floorplanning of very large scale integrated (VLSI) circuits. This is a hard multi-criteria optimization problem. Fuzzy logic is used to combine all objective criteria into a single fuzzy evaluation (cost) function, which is then used to rate competing solutions. # 2001 Elsevier Science Ltd. …”
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  2. 2
    A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems

    A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems by Bilal Khurshid (16715865)

    Published 2024
    “…<p dir="ltr">This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. …”
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  3. 3
    Cortical EEG Source Localization of Focal Epilepsy

    Cortical EEG Source Localization of Focal Epilepsy by Siyam, Wisal Elfatih Mohamed

    Published 2017
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  4. 4
    Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach

    Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach by Nargess Sadeghzadeh-Nokhodberiz (16904952)

    Published 2023
    “…<p dir="ltr">The problem of formation tracking control for a group of quadcopters with nonlinear dynamics using Barrier Lyapunov Functions (BLFs) is studied in this paper where the quadcopters are following a desired predefined trajectory in a predefined formation shape. …”
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  5. 5
    Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter

    Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter by Al-Omari, Muhannad A. R. I.

    Published 2013
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  6. 6
    Salp swarm algorithm: survey, analysis, and new applications

    Salp swarm algorithm: survey, analysis, and new applications by Abualigah, Laith

    Published 2024
    “…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …”
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  7. 7
    Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines

    Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines by Haddad, Abdul Rahim

    Published 2016
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  8. 8
    Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids

    Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids by Khayata, Mohammad Tarek

    Published 2017
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  9. 9
    Iterative Methods for the Solution of a Steady State Biofilter Model

    Iterative Methods for the Solution of a Steady State Biofilter Model by Salih, Mubarak Sahal

    Published 2017
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  10. 10
    Brain Source Localization in the Presence of Leadfield Perturbations

    Brain Source Localization in the Presence of Leadfield Perturbations by Momin, Rabiya Nakhat

    Published 2015
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  11. 11
    Optimization of Support Structures for Offshore Wind Turbines using Genetic Algorithm with Domain-Trimming (GADT)

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

    Published 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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  12. 12
    Evolutionary algorithm for protein structure prediction

    Evolutionary algorithm for protein structure prediction by Mansour, Nashat

    Published 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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  13. 13
    Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994)

    Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) by Kawash, Jalal Y.

    Published 1994
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  14. 14
    An improved kernelization algorithm for r-Set Packing

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

    Published 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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  15. 15
    Genetic and heuristic algorithms for regrouping service sites. (c2000)

    Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

    Published 2000
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  16. 16
    A comparative study of RSA based digital signature algorithms

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

    Published 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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  17. 17
    Mobile robots obstacles avoidance using dynamic window approach

    Mobile robots obstacles avoidance using dynamic window approach by Abubakr, Omer Ali

    Published 2018
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  18. 18
    Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm

    Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm by Zerguine, A.

    Published 2000
    “…In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. …”
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  19. 19
    Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm

    Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm by Ayman Khallel Al-Ani (17541447)

    Published 2023
    “…The proposed method is designed in such a way as to detect the number of loads that are present in a vehicle where functionality tasks are computed in the system. …”
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  20. 20
    Efficient heuristic algorithms for influence propagation in social networks. (c2018)

    Efficient heuristic algorithms for influence propagation in social networks. (c2018) by Lamaa, Karine H.

    Published 2018
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