Search Results - (( basic separation optimization algorithm ) OR ( java implementation path algorithm ))
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1
Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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2
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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3
Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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4
The design and applications of the african buffalo algorithm for general optimization problems
Published 2017“…Optimization, basically, is the economics of science. …”
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5
Genetic algorithm optimization for coefficient of FFT processor
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6
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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7
Synthesis of transistor chaining algorithm for CMOS cell layout using euler path / Sukri Hanafiah
Published 1997“…After discussing about the introduction (the basic of CMOS transistor ), we will discuss how to create the Optimal layout of CMOS Functional Array with the minimum separation based on euler path method. …”
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8
Fuzzy C means imputation of missing values with ant colony optimization
Published 2020“…The advantage of FCM is it can provide a better separation of instances where it is not well separated. …”
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Backtracking search algorithm for optimal power dispatch in power system / Mostafa Modiri Delshad
Published 2016“…Backtracking search algorithm (BSA) as the new evolutionary technique of optimization is used for solving the problems. …”
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10
Multi-dimensional optimization of In0.53Ga0.47As thermophotovoltaic cell using real coded genetic algorithm
Published 2023“…Therefore, this work develops a multi-variable or multi-dimensional optimization of In0.53Ga0.47As TPV cell using the real coded genetic algorithm (RCGA) at various radiation temperatures. …”
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11
Satellite Image Segmentation Using Thresholding Technique
Published 2017“…The basic idea of automatic thresholding is to automatically select an optimal or several optimal grey-level threshold values for separating objects of interest in an image from the background based on their grey-level distribution. …”
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12
Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks
Published 2022“…This study developed an optimized variation of the DV-Hop localization algorithm for anisotropic wireless sensor networks. …”
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13
Automatic generic process migration system in linux
Published 2012“…A fexible interface to the underlying checkpoint/ restart subsystem is designed which permits users to specify the migration mechanism according to process constraints. A migration algorithm is designed which attempts to exploit the unique features of the basic migration algorithms to form a generic algorithm. …”
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14
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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15
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…Segregated advancement (SA) is a separation approach where the TFN represented by low, middle, and upper are solved part by part. …”
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16
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…Segregated advancement (SA) is a separation approach where the TFN represented by low, middle, and upper are solved part by part. …”
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17
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…Segregated advancement (SA) is a separation approach where the TFN represented by low, middle, and upper are solved part by part. …”
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18
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…Segregated advancement (SA) is a separation approach where the TFN represented by low, middle, and upper are solved part by part. …”
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19
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2022“…Segregated advancement (SA) is a separation approach where the TFN represented by low, middle, and upper are solved part by part. …”
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20
Improved Segregated Advancement (I-SA): a new method for solving full triangular fuzzy transportation problems
Published 2023“…Segregated advancement (SA) is a separation approach where the TFN represented by low, middle, and upper are solved part by part. …”
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