Search Results - (( evolution evaluation step algorithm ) OR ( program normalization techniques algorithm ))

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  1. 1

    Multi-Objectives Memetic Discrete Differential Evolution Algorithm for Solving the Container Pre-Marshalling Problem by Mustafa, Hossam M. J., Ayob, Masri, Ahmad Nazri, Mohd Zakree, Abu-Taleb, Sawsan

    Published 2019
    “…Therefore, this work aims at addressing the effect of minimizing the number of miss-overlaid containers on the total number of movements in building the final feasible bay layout by embedding it in the multi-objectives evaluation function. The proposed algorithm combines the Discrete Differential Evolution mutation with the Memetic Algorithm evolutionary steps in order to find high quality CPMP solutions, achieve high convergence rate and avoid premature convergence and local optima problems. …”
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    Article
  2. 2

    Empirical Evaluation of Mutation Step Size in Automated Evolution of Non-Target-Based 3D Printable Objects by Jia Hui Ong, Jason Teo

    Published 2015
    “…The focus of this study is to explore the mutation step size in hoping to create more diverse populations in the evolution of the generated 3D printable objects. …”
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    Article
  3. 3

    Logic Programming In Radial Basis Function Neural Networks by Hamadneh, Nawaf

    Published 2013
    “…Two techniques were developed. The first technique is to encode the logic programming in radial basis function neural networks. …”
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    Thesis
  4. 4

    Solving non-convex economic dispatch problem using computational intelligence technique by Mansor M.H., Othman M.M., Musirin I., Saleh S.A.M.

    Published 2023
    “…Computer programming; Immune system; Scheduling; Artificial Immune System; Computational intelligence techniques; Economic Dispatch; Evolutionary programming algorithms; Log-normal; Non-convex economic dispatches; Reliability test system; Valve-point loading effect; Electric load dispatching…”
    Conference Paper
  5. 5

    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. …”
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    Thesis
  6. 6

    Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones by Mansor M.H., Musirin I., Othman M.M.

    Published 2023
    “…Computer programming; Electric power system planning; Electric power systems; Evolutionary algorithms; Immune system; Problem solving; Scheduling; Artificial Immune System; Economic Dispatch; Economic dispatch problems; Electrical power system; Log-normal; Optimization techniques; Prohibited operating zone; Reliability test system; Electric load dispatching…”
    Conference Paper
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  8. 8

    A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.] by Wan Xing, Sultan Mohd, Mohd Rizman, Johari, Juliana, Ahmat Ruslan, Fazlina

    Published 2023
    “…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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    Article
  9. 9

    Multi -Objective Economic Dispatch Using Evolutionary Programming by Noor Azlan Bin Adnan

    Published 2023
    “…This study focused on solving multi-objectives economic dispatch using Heuristic Optimization (HO) technique which is Multi-Objective Evolutionary Programming (MOEP). …”
  10. 10

    Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

    Published 2015
    “…Various CPS techniques have been proposed such as PAC, IPO, Flowchart and Algorithm. …”
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    Thesis
  11. 11

    Design Optimization of 3-Phase Rectifier Power Transformers by Genetic Algorithm and Simulated Annealing by K.S., Rama Rao, Md Hasan, Khairul Nisak

    Published 2008
    “…Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. …”
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    Citation Index Journal
  12. 12
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    Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing by K.S., Rama Rao, K.N., Mohd Hassan

    Published 2008
    “…Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. …”
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    Citation Index Journal
  14. 14
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  16. 16

    Optimal Reactive Power Dispatch for Voltage Stability Improvement Considering Line Contingencies using PSO by Nor Rul Hasma, Abdullah, I., Musirin

    Published 2013
    “…The simulations results are compared with those obtained from the Evolutionary Programming (EP) technique in the attempt to highlight its merit. …”
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    Conference or Workshop Item
  17. 17

    Design Optimization of 3-phase rectifier power transformers by Genetic Algorithm and Simulated Annealing by K.S., Rama Rao, K.N., Mohd Hassan

    Published 2008
    “…Two non-linear programming techniques, GA and SA are applied for the estimation of transformer design parameters and the results are compared. …”
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    Conference or Workshop Item
  18. 18

    Framework to reduce cost scrapping and cost of assemble test capacity in semiconductor integrated circuit manufacturing by Mohd Fazil, Azlan Faizal, Mohd Shaharanee, Izwan Nizal, Mohd Jamil, Jastini, Ang, Jin Sheng

    Published 2020
    “…Thus, the single-die packaging trend has evolved into multi-die packaging. The evolution of multi-die packaging requires more tools and processing steps in the assembly process. …”
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    Article
  19. 19

    Highest response ratio next (HRRN) vs first come first served (FCFS) scheduling algorithm in grid environment by Latip, Rohaya, Idris, Zulkhairi

    Published 2011
    “…A good scheduling algorithm normally shows lower value of total waiting and schedule time. …”
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    Conference or Workshop Item
  20. 20

    Enhanced dynamic security assessment for power system under normal and fake tripping contingencies. by A. Salih, Qusay

    Published 2019
    “…The hybrid logistic model tree (hybrid LMT) approach proposed in this study combines the symmetrical uncertainties (SU) algorithm and the logistic model tree (LMT) algorithm. …”
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    Thesis