Search Results - (( variable extractions path algorithm ) OR ( a contribution function algorithm ))
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A block cipher based on genetic algorithm
Published 2016“…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
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A novel nonlinear time‑varying sigmoid transfer function in binary whale optimization algorithm for descriptors selection in drug classifcation
Published 2022“…The main contribution of this paper is a new version of the nonlinear time-varying Sigmoid transfer function to improve the exploitation and exploration activities in the standard whale optimization algorithm (WOA). …”
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Designing New Block Cipher Based On Genetic Algorithm Approach
Published 2024“…In this research, we proposed a new block cipher algorithm based on genetic algorithm approach which shall meet the security requirements. …”
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Enhancing Harmony Search Parameters Based On Step And Linear Function For Bus Driver Scheduling And Rostering Problems
Published 2018“…This is achieved by using a first type of association between the linear increase function with a second model of the dynamic increase of step function being remarkable in other combinations and also other models.In conclusion,this proposed approach managed to generate a fairer roster and was thus capable of maximising the balancing distribution of shifts and routes among drivers,which contributed to the lowering of illness, incidents,absenteeism and accidents.…”
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PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions
Published 2023“…The results indicated that the PSO-LFDE has achieved competitive results on the single-objective constrained real-parameter optimisation test functions as compared to PSO algorithm by Gaing. Thus, the PSO-LFDE is validated as a stable, well-designed algorithm and can be a functional alternative approach to deal with various single-objective constrained real-parameter optimisation problems.…”
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Conference or Workshop Item -
6
An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…Such a result indicate that the proposed Improved Fast Scanning algorithm is useful in image segmentation and later contribute in identifying region of interesting in pattern recognition.…”
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7
Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…In this contribution, a novel analogy of the locust-inspired algorithm is presented in the field of cloudlet scheduling. …”
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8
Modified Parameters of Harmony Search Algorithm for Better Searching
Published 2017“…The harmony search algorithm is classified as a meta-heuristics algorithm that is capable of solving hard and combinatorial or discrete optimisation problems. …”
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Conference or Workshop Item -
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Stochastic process and tutorial of the African buffalo optimization
Published 2022“…Again, our ability to describe the algorithm’s basic flow, stochastic and data generation processes in a language so simple that any non-expert can appreciate and use as well as the practical implementation of the popular benchmark Rosenbrock and Shekel Foxhole functions with the novel algorithm will assist the research community in benefiting maximally from the contributions of this novel algorithm. …”
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An empirical study of density and distribution functions for ant swarm optimized rough reducts
Published 2011“…Coexistence, cooperation, and individual contribution to food searching by a particle (ant) as a swarm (colony) survival behavior, depict the common characteristics of both PSO and ACO algorithms. …”
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Book Chapter -
11
Realization of Generalized RBF Network
Published 2003“…This paper describes generalized neural classifier based on the radial basis function network. The contributions of this work are: i) improvement on the standard radial basis function network architecture, ii) proposed a new cost function for classification, iii) hidden units feature subset selection algorithm, and iv) optimizing the neural classifier using the genetic algorithm with a new cost function. …”
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Proceeding -
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A review of slicing techniques in software engineering
Published 2015“…A common practice now is to extract the sub models out of the giant models based upon the slicing criteria. …”
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Proceeding Paper -
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March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults
Published 2012“…Functional test is a standard testing procedure to determine the functionality of the memory by performing a sequence of read write operations to detect faults. …”
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14
Stochastic process and tutorial of the African bufalo optimization
Published 2022“…Again, our ability to describe the algorithm’s basic flow, stochastic and data generation processes in a language so simple that any non-expert can appreciate and use as well as the practical implementation of the popular benchmark Rosenbrock and Shekel Foxhole functions with the novel algorithm will assist the research community in benefiting maximally from the contributions of this novel algorithm. …”
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15
Pashto language stemming algorithm
Published 2015“…This paper presents a stemming algorithm for morphological analysis for less popular or minor language like Pashto language. …”
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Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat
Published 2017“…The second contribution is an efficient bandwidth allocation algorithm for A-MSDU aggregation called Adaptive Scheduling based Embedded Fuzzy (ASEF) system. …”
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Book Section -
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An Innovative Signal Detection Algorithm in Facilitating the Cognitive Radio Functionality for Wireless Regional Area Network Using Singular Value Decomposition
Published 2011“…It is a signal detector based on a Singular Value Decomposition (SVD) technique that utilizes the eigenvalue of a received signal. …”
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A new multiobjective tiki-taka algorithm for optimization of assembly line balancing
Published 2023“…The algorithm makes all solution candidates have contributions to the algorithm convergence.…”
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