Search Results - (( java implementation during algorithm ) OR ( using same path algorithm ))
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1
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…The recent trend of software development uses OO paradigm. 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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2
Analysis of Dijkstra’s and A* algorithm to find the shortest path
Published 2015“…There are so many algorithms used to find the shortest path such as Dijkstra, A* algorithm, Genetic algorithm, Floyd algorithm and Ant algorithm. …”
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3
Comparison of path planning in simulated robot
Published 2020“…However, different robots will work in different environments. If all the robots use the same path planning algorithm, it is possible that they may not bring the greatest benefit. …”
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4
Route optimization using shortest path method / Muhamad Faisal Amin Shakri
Published 2025“…Each algorithm was tested to compute the shortest path, with results indicating that while all algorithms arrive at the same optimal route, their efficiency differs. …”
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5
Performance analysis of genetic algorithm (GA)-based multi-constrained path routing algorithm
Published 2023“…The performance of the algorithm is then compared with an exact algorithm called the depth first search and a common shortest path algorithm called the Dijkstra's algorithm. …”
Article -
6
Cyclic Path Planning Of Hyper-Redundant Manipulator Using Whale Optimization Algorithm
Published 2021“…This paper develops a path planning algorithm of hyper-redundant manipulators to achieve a cyclic property. …”
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7
Test case minimization applying firefly algorithm
Published 2018“…The proposed test case minimization method has the following steps: provide weight to the paths, calculate path coverage for each path, transform an immediate graph into an adjacency matrix, which later is used to apply firefly algorithm and generate optimal test cases. …”
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8
Pairwise testing tools based on hill climbing algorithm (PTCA)
Published 2014“…The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. …”
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Undergraduates Project Papers -
9
Path planning algorithm for a car like robot based on MILP method
Published 2013“…The findings of this research have shown that the MILP method can be used in the path planning problem in terms of finding a safe and shortest path. …”
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10
Cyclic Path Planning Of Hyper-Redundant Manipulator Using Whale Optimization Algorithm
Published 2023Article -
11
An improved algorithm in test case generation from UML activity diagram using activity path
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12
Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques
Published 2014“…However, when compositions contain more than one execution path (i.e., multiple path's compositions), it is difficult to generate a composite service that simultaneously optimizes all the execution paths involved in the composite service at the same time while meeting the QoS requirements. …”
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13
Repetitive mutations in genetic algorithm for software test data generations
Published 2022“…One of the white box testing techniques is path coverage testing. Genetic Algorithm (GA) has proven to be an important method in generating test data for automatic path coverage testing. …”
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14
Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization
Published 2011“…In this research, the Genetic Algorithms (GA) is used to optimize the word length of FFT coefficients to maintain the SNR value and reduce the SA at the same time. …”
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15
All-pass filtered x least mean square algorithm for narrowband active noise control
Published 2018“…Active noise control (ANC) is the most popular method for attenuating acoustic primary noise or disturbances by generating controllable secondary sources by which the output noise can be cancelled with the same amplitude but with opposite sign/sense. Most available ANC uses the secondary path modelling including filtered x least mean square (FxLMS) algorithm. …”
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16
Integration of enchanced jump point search (JPS) algorithm with modified bresenham technique for path planning in virtual grid-based environment
Published 2018“…The algorithm which consider the error value, e to increment pixels is the crucial part of the line generation applies the same concept in the second approach, where the error value, e is used as indicator to determine the heuristic cost of the path. …”
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17
Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah
Published 2013“…It uses obstacle border as guidance toward the target and at the same time uses sensors to implement obstacle avoidance. …”
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18
Hybrid optimal path traceback system development for optimization DNA sequences alignment
Published 2012“…As a result, the second design required three times design area as compare to the first design for determine the optimal path for the same matrix size. Therefore, the first design is the best hybrid approach for the optimal path trace back size since theoretical result has shown both of the design has the same output but the second design suffers in terms of large design area.…”
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Student Project -
19
Hybrid optimal path traceback system development for optimizing DNA sequences alignment: article
Published 2012“…As a result, the second design required three times design area as compare to the first design for determine the optimal path for the same matrix size. Therefore, the first design is the best hybrid approach for the optimal path trace back size since theoretical result has shown both of the design has the same output but the second design suffers in terms of large design area.…”
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20
Transmission path optimization Based on Efficiency Communication System
Published 2022“…In this paper, routing attribute table that is maintained by the nodes, the density and relative distance of node distribution, is used to determine the clustering method. At the same time, the developed algorithm combines the relative position of the cluster and the base station to further improve the routing method of the sub-cluster head, Finally, the algorithm analyzes the influence of different parameters on the transmission path, and use the simulation experiments to evaluate the conclusions.…”
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