يعرض 1 - 20 نتائج من 27 نتيجة بحث عن '(((( algorithm fitness function ) OR ( algorithm cep function ))) OR ( algorithm python function ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 1

    Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems حسب Abualigah, Laith

    منشور في 2023
    "…In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. …"
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    Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation حسب Abualigah, Laith

    منشور في 2023
    "…The performance measure for the proposed method is valid by detecting fitness function, structural similarity index, peak signal-to-noise ratio, and Friedman ranking test. …"
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  4. 4

    A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

    منشور في 1997
    "…A fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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    article
  5. 5

    A genetic-based algorithm for fuzzy unit commitment model حسب Mantawy, A.H.

    منشور في 2000
    "…In the implementation for the GA, coding of the UCP solutions is based on mixing binary and decimal representations. A fitness function is constructed from the total operating cost of the generating units plus a penalty term determined due to the fuzzy load and spinning reserve membership functions. …"
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    article
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    Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images حسب Abu Zitar, Raed

    منشور في 2023
    "…The solutions are evaluated using Otsu's fitness function throughout the optimization process. …"
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    Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem حسب Mantawy, A.H.

    منشور في 1999
    "…The fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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    article
  9. 9

    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

    منشور في 2022
    "…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"
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    A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem حسب Mantawy, A. H.

    منشور في 2020
    "…A fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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    article
  11. 11

    Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem حسب Montawy, A.H.

    منشور في 2020
    "…The fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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    article
  12. 12

    An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

    منشور في 2021
    "…The Support Vector Machine (SVM) algorithm is used for classification and the average F-Score is used as fitness function and target condition. …"
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    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

    منشور في 2022
    "…GA is enhanced by adding a multi-objective function, which selects the best features and achieves improved fitness outcomes to explore the essential features and helps minimize dimensions, enhance the true positive rate (TPR), and lower the false positive rate (FPR). …"
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    Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems حسب Agushaka, Jeffrey O.

    منشور في 2022
    "…This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm (IDMO) for constrained engineering design problems. …"
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    A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

    منشور في 2021
    "…The role of the proposed quasi oppositional based SMPID controller is to modify the tracking strategy on AC/HVDC interconnected systems while reducing the related cost function. The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …"
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    Scatter search metaheuristic for homology based protein structure prediction. (c2015) حسب Stamboulian, Mouses Hrag

    منشور في 2015
    "…The metaheuristic is guided using two fitness functions, GA341 and DOPE. 3D models are generated using the software MODELLER. …"
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    masterThesis
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    Scatter search for homology modeling حسب Mansour, Nashat

    منشور في 2016
    "…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …"
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    conferenceObject
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    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

    منشور في 2019
    "…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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