Search Results - (( developing case generation algorithm ) OR ( java adaptation optimization algorithm ))
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1
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
An improved algorithm in test case generation from UML activity diagram using activity path
Published 2011“…This paper proposed an improved algorithm to automatically generate test cases directly from UML activity diagram using an activity graph.This algorithm has been implemented as a prototype using UML activity diagrams as inputs to generate test cases.These generated test cases are generated automatically are compared to test cases that are generated manually in order to evaluate the algorithm’s usability and reliability.The result shows that the test cases generated by the developed test case generator program are the same as the one manually derived.…”
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3
PSAT : a pairwise test data generation tool based on simulated annealing algorithm
Published 2015“…In this research, the test case will be generated based on the SA algorithm to show that the test case can be generated with sufficient.…”
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Undergraduates Project Papers -
4
An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…Performance of each algorithm is compared in terms of number of test cases generated as well as the run time required. …”
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Thesis -
5
T-way testing : a test case generator based on melody search algorithm
Published 2015“…This thesis is research on developing a T-Way Testing : A Test Case Generator Based On Melody Search Algorithm (TTT-MS) to generate optimum final test list. …”
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Undergraduates Project Papers -
6
Adapting the Elitism on the Greedy Algorithm for Variable Strength Combinatorial Test Cases Generation
Published 2018“…A combinatorial testing (CT) is an important technique usually employed in the generation of test cases. The generation of an optimal sized test case is a Non-Deterministic Polynomial hard problem (NP). …”
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7
Test case minimization applying firefly algorithm
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8
Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…Software testing consumes half of the entire software development cost where test case generation is the most cost consuming activity in the whole process. …”
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Thesis -
9
An optimized test case generation technique for enhancing state-sensitivity partitioning
Published 2017“…Test case generation remains the most dominant the research area in software testing. …”
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10
A test case generation framework based on UML statechart diagram
Published 2018“…Furthermore, the algorithms used for test case generation are not provided or well described. …”
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11
Optimisation of tilt angles for fixed PV Panel via computational algorithm
Published 2022“…At the end, it can be concluded that the top priority to obtain the optimum annual energy generation will be Case 1, by following with Case 3 and Case 2.…”
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Final Year Project / Dissertation / Thesis -
12
The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Thus, a new algorithm known as infection evolution (IE) was developed in this study. …”
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Thesis -
13
Online Programming Judge System (UOJ)
Published 2013“…Moreover, the mechanism of test cases generation using PSO algorithm is deeply analyzed. …”
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Final Year Project -
14
On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing
Published 2015“…Here, a set of sampled test cases is generated based on t-way covering problem (where t indicates the interaction strength). …”
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15
Elitism Based Migrating Birds Optimization Algorithm for Optimization Testing
Published 2017“…Here, we used elitism to preserve the best test cases in order to improve the effectiveness of MBO in generating the minimum set of test cases. …”
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16
Faculty timetabling using genetic algorithm
Published 2011“…Faculty Timetabling using Genetic Algorithm (FTGA) is an application that generate optimum timetable for faculty.The target user of this application is faculty staff who responsible in generate timetable.The problem statement of the project is many clashing exist in the timetable.Faculty staff needs to solve the clashing manually.This will waste time and it is a problem for staff to solve the clashing.By implement GA,clashing will be reduced.The objective of the project is to develop aprototype in scheduling application for generates an optimum timetable for a faculty.Genetic algorithm will be implemented.The scope of FTGA is Faculty of Computer Systems & Software Engineering (FCSSE).The methodology use in this project is prototype model.The testing result show 95 out of 100 test cases achieved the maximum fitness value which means there is no clashing in the timetable.The maximum generation is set to 15 generation.Population for each generation is 3 populations.Percentage of FTGA solve the problem is 95%.…”
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Undergraduates Project Papers -
17
A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system
Published 2021“…To evaluate the effectiveness of the algorithm, simulation case studies have been conducted with actual load data and actual PV generation data. …”
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18
Artificial Bee Colony Algorithm for Pairwise Test Generation
Published 2017“…In this paper, we evaluated and proposed a pairwise strategy named Pairwise Artificial Bee Colony algorithm (PABC). According to the benchmarking results, the PABC strategies outdo some existing strategies to generate a test case in many of the system configurations taken into consideration. …”
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Article -
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Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
Published 2023“…Recently, the rapid growth development of the Distribution system has caused the problem arising due to the usage Distributed Generation (DG). …”
text::Final Year Project -
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T-way strategy for sequence input interactions test case generation adopting fish swarm algorithm
Published 2019“…In Combinatorial Input Interaction (CII) based system, the increasing number of input event causes the increasing number of test cases. Since twenty years many useful t-way strategies have been developed to reduce test case size. …”
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