Search Results - optimal self algorithm*

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  1. 1

    Fixed vs. Self-Adaptive Crossover First Differential Evolution by Jason Teo, Asni Tahir, Norhayati Daut, Nordaliela Mohd. Rusli, Norazlina Khamis

    Published 2016
    “…The self-adaptive version of this crossover-first DE was alsoobserved to be producing optimization results which were superior thanthe conventional DE.…”
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  2. 2

    Exploring dynamic self-adaptive populations in differential evolution by Teo, Jason Tze Wi

    Published 2006
    “…Although the Differential Evolution (DE) algorithm has been shown to be a simple yet powerful evolutionary algorithm for optimizing continuous functions, users are still faced with the problem of preliminary testing and hand-tuning of the evolutionary parameters prior to commencing the actual optimization process. …”
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  3. 3

    Self organizing multi-objective optimization problem by Ismail, Fatimah Sham, Yusof, Rubiyah, Khalid, Marzuki

    Published 2011
    “…In order to overcome these problems, this paper proposes a new self organizing genetic algorithm (SOGA) for multi-objective optimization problems. …”
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  4. 4

    SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE by Paknahad, M., Hosseini, P., Hakim, S.J.S

    Published 2023
    “…Nowadays, approximate optimization methods are widely used. This study utilized the Self Adaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm as an approximate optimization method, since the EVPS algorithm requires experimental parameters. …”
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  5. 5

    Methane plume localization with enhanced self-best reduction and Gaussian improved particle swarm optimization (GiPSO) by Liew, Jia Hun

    Published 2024
    “…Our research employs Gaussian improved Particle Swarm Optimization (GiPSO), derived from modifications implemented on Particle Swarm Optimization (PSO) with Z-axis coefficient clamping and Self-Best reduction mechanism. …”
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    A Self-Adaptive Enhanced Vibrating Particle System Algorithm For Structural Optimization: Application To Iscso Benchmark Problems by Paknahd, M, Hosseini, P, Kaveh, A, Hakim, S.J.S

    Published 2025
    “…This research presents a novel SelfAdaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm that automatically adjusts algorithm parameters to improve optimization performance. …”
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  8. 8

    Utilizing self-organization systems for modeling and managing risk based on maintenance and repair in petrochemical industries by Jaderi, Fereshteh, Ibrahim, Zelina Zaiton, Nikoo, Mehdi, Nikoo, Mohammad

    Published 2018
    “…In order to evaluate the accuracy of the model, we compare it with the fuzzy model, and the results indicate that self-organizing systems optimized with the genetic algorithm have higher ability, flexibility and accuracy than the fuzzy model in predicting risk.…”
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    Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

    Published 2019
    “…This research work proposed a new idea based on the optimization for handling the imbalanced datasets. A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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  12. 12

    Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

    Published 2013
    “…Thus, the design of optimal distributed scheduling algorithm has remained a challenge for the last few decades. …”
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  13. 13

    Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

    Published 2013
    “…Thus, the design of optimal distributed scheduling algorithm has remained a challenge for the last few decades. …”
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  14. 14

    Distributive and self-sustainable scheduling algorithm for wireless sensor networks by Sheikh, M.A., Ali, N.B.Z., Awang, A.

    Published 2013
    “…Thus, the design of optimal distributed scheduling algorithm has remained a challenge for the last few decades. …”
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  15. 15

    Implementation of safe experimentation spiral dynamics algorithm for self-tuning of PID controller in elastic joint manipulator by Mohd Ashraf, Ahmad, Mohd Zaidi, Mohd Tumari, Mohd Riduwan, Ghazali, Mohd Helmi, Suid

    Published 2022
    “…This paper exclusively endorses the optimization of self-tuned PID using Safe Experimentation Spiral Dynamic Algorithm (SESDA) for elastic joint handling. …”
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  16. 16

    Self-adaptive conjugate method for a robust and efficient performance measure approach for reliability-based design optimization by Keshtegar, Behrooz, Baharom, Shahrizan, El-Shafie, Ahmed

    Published 2018
    “…The conjugate gradient analysis (CGA) and modified chaos control (MCC) algorithms have recently been employed to achieve the stabilization of reliability analysis in RBDO problems. …”
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  17. 17

    Self-organized HGBBDSA approach for the power allocation in OFDMA-based heterogeneous network by Mohammad Kamrul, Hasan, Ismail, Ahmad Fadzil, Islam, Shayla, Wahidah, Hashim

    Published 2016
    “…The integration of GA with Biogeography Based Optimization algorithm benchmarked over the Particle Swarm Optimization (PSO). …”
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  18. 18

    Self-organizing network technique for resource allocation and mobility management in LTE femtocell network / Labeeb Mohsin Abdullah by Abdullah, Labeeb Mohsin

    Published 2015
    “…The third experiment was conducted using Vienna LTE simulator to evaluate the performance of the proposed optimized handover mechanism and reducing redundant handover by applying the most appropriate self-learning handover parameters. …”
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  19. 19

    A self‐configured link adaptation for green LTE downlink transmission by Salman, Mustafa Ismael, Ng, Chee Kyun, Noordin, Nor Kamariah, Mohd Ali, Borhanuddin, Sali, Aduwati

    Published 2015
    “…Accordingly, a new mapping between channel quality indicator and modulation and coding scheme is proposed to address EE–SE trade‐off with the use of a multi‐criteria decision‐making technique. Then, a self‐configured link adaptation (SCLA) algorithm is developed to ensure that the priority weights related to EE and SE are adapted according to network load with the use of real‐time cross‐layer optimization. …”
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  20. 20

    Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof by Yusof, Yusman

    Published 2019
    “…In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
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