Search Results - (( developing step generation algorithm ) OR ( java optimization techniques algorithm ))
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Hybrid genetic algorithm for improving fault localization
Published 2018“…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Automated path testing using the negative selection algorithm
Published 2017“…Software testing is an important step in the software development process, accounting for more than 50% of software development cost as it is laborious and time-consuming. …”
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Scalable approach for mining association rules from structured XML data
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. …”
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Algorithm development for optimization of a refrigeration system
Published 2010“…The thesis describes the step by step the method to find an algorithm by using experimental data. …”
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Undergraduates Project Papers -
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An initial state of design and development of intelligent knowledge discovery system for stock exchange database
Published 2004“…We divide our problem in two modules.In first module we define Fuzzy Rule Base System to determined vague information in stock exchange databases.After normalizing massive amount of data we will apply our proposed approach, Mining Frequent Patterns with Neural Networks.Future prediction (e.g., political condition, corporation factors, macro economy factors, and psychological factors of investors) perform an important rule in Stock Exchange, so in our prediction model we will be able to predict results more precisely.In second module we will generate clustering algorithm. Generally our clustering algorithm consists of two steps including training and running steps.The training step is conducted for generating the neural network knowledge based on clustering.In running step, neural network knowledge based is used for supporting the Module in order to generate learned complete data, transformed data and interesting clusters that will help to generate interesting rules.…”
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Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Simulation method of shortest and safest path algorithm for evacuation in high rise building
Published 2014“…Third step is to generate the shortest path, the fourth is removed the edges and finally generate the safest path. …”
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STEP-NC Interpolator for General 2D and 3D Parametric Curve / Dzullijah Ibrahim...[et al.]
Published 2017“…In specialty domain, such as design, manufacturing, and machining, the STEP AP238 (STEP-NC) is developed. A STEP-NC interface to OAPC-NC interpolator using STEP-NC tool path data is proposed and developed. …”
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Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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Variable step-size hill-climbing search (VS-HCS) MPPT algorithm for hydrokinetic energy harnessing
Published 2025“…In this paper, the Variable-Step Hill Climbing Search (VS-HCS) MPPT algorithm is proposed to solve the limitation of the conventional HCS MPPT. …”
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Test case minimization applying firefly algorithm
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Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim
Published 2011“…This system is developed for the invigilators and with the objective of constructing an invigilation timetable using Genetic Algorithm. …”
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Direct approach for mining association rules from structured XML data
Published 2012“…Another aim of this study is to do an enhancement on the current structure of FLEX algorithm in terms of elimination of the candidate generation step. …”
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