Search Results - (( developing starter set algorithm ) OR ( java optimization method algorithm ))
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Starter Set Generation Based on Factorial Numbers for Half Wing of Butterfly Representation
Published 2021“…This paper presents the use of factorial numbers for generating starter sets where starter sets are used for listing permutation. …”
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A new starter sets generation method by fixing any element under exchange restriction
Published 2016“…A new method is developed for starter sets generation namely STARSET2 based on exchange where any element can be selected randomly to be fixed.The result showed that no redundancy of starter sets is occurring and no equivalence starter sets are obtained.…”
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A new method for starter sets generation by fixing any element
Published 2015“…a new permutation technique based on distinct starter sets was introduced by employing circular and reversing operations.The crucial task is to generate the distinct starter sets by eliminating the equivalence starter sets.Meanwhile new strategies for starter sets generation without generating its equivalence starter sets were developed and more efficient in terms of computation time compared to old method.However all these algorithms have limitations in terms of fixing element to construct the first set (starter set) to begin with.It would be interesting to derive new strategy by fixing an element in any position. …”
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4
Butterfly Triple System Algorithm Based on Graph Theory
Published 2022“…The obtained starter set generates a triple system of order v. …”
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New algorithm for listing all permutations
Published 2010“…In this paper, a new algorithm for listing down all permutations for n elements is developed based on distinct starter sets. …”
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SEALiP: A simple and efficient algorithm for listing permutation via starter set method
Published 2013“…Algorithm for listing permutations for n elements is an arduous task.This paper attempts to introduce a novel method for generating permutations.The fundamental concept for this method is to seek a starter set to begin with as an initial set to generate all distinct permutations. …”
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Parallel strategy for starter sets to list all permutation based on cycling restriction
Published 2011“…This paper presents a parallel implementation of a new permutation generation method.This permutation generation method is based on the starter sets for listing all the n! permutations.The sequential algorithm is developed and parallelized for parallel computing by integrating with Message Passing Interface (MPI) libraries. …”
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A new parallel model for starter sets generation via exchanging two elements
Published 2019“…The numerical results reveal that the new approach is efficient only for case when the number of initial starter sets is equally divisible.…”
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Representation of half wing of butterfly and hamiltonian circuit for complete graph using starter set method
Published 2019“…We provide an example for case n = 4 and 5 to exemplify the algorithms. Furthermore, the calculation for order of complexity is also presented for generating distinct half wing and hamiltonian circuit using starter set method.…”
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New Sequential and Parallel Division Free Methods for Determinant of Matrices
Published 2013“…The computation times in the newly developed sequential methods were dominated by generating starter sets. …”
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Thesis -
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…In order to solve it, Bat Algorithm method is implement in to optimization method in fuzzy modeling for classification. …”
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Undergraduates Project Papers -
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The division free parallel algorithm for finding determinant
Published 2013“…A cross multiplication method for determinant was generalized for any size of square matrices using a new permutation strategy.The permutation is generated based on starter sets.However, via permutation, the time execution of sequential algorithm became longer.Thus, in order to reduce the computation time, a parallel strategy was developed which is suited for master and slave paradigm of the high performance computer.A parallel algorithm is integrated with message passing interface.The numerical results showed that the parallel methods computed the determinants faster than the sequential counterparts particularly when the tasks were equally allocated.…”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Optimize class time tabling by using genetic algorithm technique in UTHM
Published 2019“…This research used genetic algorithm (GA) that was applied to java programming languages with a goal of reducing conflict and optimizing the fitness. …”
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Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite
Published 2025“…This study proposes a combinatorial testing method utilizing the Whale Optimization Algorithm (WOA). …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…Metaheuristic algorithms have been used successfully for solving different optimization problems. …”
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