Search Results - (( evolution evaluation new algorithm ) OR ( using codification using algorithm ))

Search alternatives:

Refine Results
  1. 1
    Parameter extraction of photovoltaic module using hybrid evolutionary algorithm

    Parameter extraction of photovoltaic module using hybrid evolutionary algorithm by Muhsen D.H., Ghazali A.B., Khatib T.

    Published 2023
    Conference Paper
    Save to List
    Saved in:
  2. 2
    Broadening selection competitive constraint handling algorithm for faster convergence

    Broadening selection competitive constraint handling algorithm for faster convergence by Shaikh, T.A., Hussain, S.S., Tanweer, M.R., Hashmani, M.A.

    Published 2020
    “…The proposed algorithm has been evaluated using 24 benchmark functions. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm

    Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm by Hadi, Mahmaad Khalid

    Published 2016
    “…The proposed algorithm is evaluated on the IEEE 30-bus test system. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    On fractional and semi-soft handover in long term evolution(LTE) networks

    On fractional and semi-soft handover in long term evolution(LTE) networks by Hussein, Yaseein Soubhi, Mohd Ali, Borhanuddin, Varahram, Pooria

    Published 2011
    “…In this paper a hybrid HO algorithms called semi-soft handover (SSHO) and fractional soft handover (FSHO) in long term evolution (LTE) system are studied. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  5. 5
    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh

    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

    Published 2015
    “…Differential evolution (DE) is a simple yet powerful evolutionary algorithm (EA). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.

    VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

    Published 2012
    “…The Genetic Algorithm is an area in the field of Artificial Intelligence that is founded on the principles of biological evolution. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach

    The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach by Ab. Malik, Rosely, Jamil S., Mohamed

    Published 2001
    “…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Optimized performance evaluation of LTE hard handover algorithm with average RSRP constraint

    Optimized performance evaluation of LTE hard handover algorithm with average RSRP constraint by Lin, Cheng-Chung, Sandrasegaran, Kumbesan, Mohd. Ramli, Huda Adibah, Basukala, Riyaj

    Published 2011
    “…An optimized system performance of the LHHAARC is evaluated and compared with three well-known handover algorithms via computer simulation. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    PMT : opposition based learning technique for enhancing metaheuristic algorithms performance

    PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

    Published 2020
    “…Experimentally, the PMT shows promising results by accelerating the convergence rate against the original algorithms with the same number of fitness evaluations comparing to the original metaheuristic algorithms in benchmark functions and real-world optimization problems.…”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  10. 10
    Performance evaluation of relay deployment in long term evolution advanced (LTE-A) network / Aminah Najihah Jaafar

    Performance evaluation of relay deployment in long term evolution advanced (LTE-A) network / Aminah Najihah Jaafar by Hasanudin, Siti Farhana

    Published 2014
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution

    A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

    Published 2018
    “…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
    Save to List
    Saved in:
  12. 12
    PMT: opposition-based learning technique for enhancing meta-heuristic performance

    PMT: opposition-based learning technique for enhancing meta-heuristic performance by Alamri, Hammoudeh S., Kamal Z., Zamli

    Published 2019
    “…The experimentally, the PMT shows promising results by accelerating the convergence rate against the original algorithms with the same number of fitness evaluations.…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff

    Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff by Mohd Yusoff, Nurulanis

    Published 2017
    “…The results showed that the QEEA algorithm outperformed the other algorithms as it could achieve up to 18% of maximum throughput, 27% reduction in ECR, and 36% improvement in EE in terms of radius ranging from 200 m to 1000 m. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar

    Performance evaluation of relay deployment in Long Term Evolution Advanced (LTE-A) network / Aminah Najihah Jaafar by Jaafar, Aminah Najihah

    Published 2016
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model

    LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model by Dashti, Maedeh, Gandoman, Taghi Javdani, Adeh, Dariush Hasanpoor, Zulzalil, Hazura, Md Sultan, Abu Bakar

    Published 2021
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Dual optimization approach in discrete Hopfield neural network

    Dual optimization approach in discrete Hopfield neural network by Guo, Yueling, Zamri, Nur Ezlin, Mohd Kasihmuddin, Mohd Shareduwan, Alway, Alyaa, Mansor, Mohd. Asyraf, Li, Jia, Zhang, Qianhong

    Published 2024
    “…Quantitative evaluations show that the proposed model successfully enhances the optimization of both phases, ranking first compared to 10 recent algorithms for all metrics. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Last throughput and quality-of-service aware (LTQA) scheduling algorithm in long term evolution (LTE) femtocell network / Muhammad Naqiuddin Sahrani

    Last throughput and quality-of-service aware (LTQA) scheduling algorithm in long term evolution (LTE) femtocell network / Muhammad Naqiuddin Sahrani by Sahrani, Muhammad Naqiuddin

    Published 2022
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Metaheuristic searching genetic algorithm based reliability assessment of hybrid power generation system

    Metaheuristic searching genetic algorithm based reliability assessment of hybrid power generation system by Abdalla, Ahmed N., Nazir, Muhammad Shahzad, Ming, Xin Jiang, Kadhem, Athraa Ali, Abdul Wahab, Noor Izzri, Suqun, Cao, Rendong, Ji

    Published 2020
    “…The result approve the effectiveness of the proposed algorithm in improving the computation time by 85% and 2% in comparison with the particle swarm optimization (PSO) and differential evolution optimization algorithm (DEOA) respectively. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Sub-route reversal repair mechanism and differential evolution for urban transit network design problem

    Sub-route reversal repair mechanism and differential evolution for urban transit network design problem by Tarajo, Buba Ahmed

    Published 2017
    “…From the literature of UTNDP, the most widely used metaheuristic is the genetic algorithm, at the expense of other population-based metaheuristics. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation

    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud

    Published 2019
    “…In order to train Ridgelet probabilistic neural network, a modified differential evolution algorithm with new mutation phase, crossover process, and selection mechanism is introduced. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: