Search Results - (( software optimization _ algorithm ) OR ( java application search algorithm ))
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Hybrid genetic algorithm for improving fault localization
Published 2018“…Therefore, there is a need for a technique which able to localize a fault effectively with less number of mutants generated. 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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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…This study aims to compare the performance of Boyer-Moore, Knuth morris pratt, and Horspool algorithms in searching for the meaning of words in the Java-Indonesian dictionary search application in terms of accuracy and processing time. …”
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An Effective Fast Searching Algorithm for Internet Crawling Usage
Published 2016“…The search algorithm is a crucial part in any internet applications. …”
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Direct approach for mining association rules from structured XML data
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Songs Search Using Human Humming Voice
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Final Year Project -
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An adaptive flower pollination algorithm for minimizing software testing redundancy
Published 2017“…In this paper, we present an adaptive flower pollination algorithm for solving an optimization problem, i.e., minimization of software testing redundancy. …”
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A comparative study on testing optimization techniques with combinatorial interaction testing for optimizing software product line testing
Published 2025“…An experiment has been conducted on the most commonly used optimization algorithms in previous studies. The optimization algorithms we explored are the Genetic Algorithm, Cuckoo Search algorithm, Ant Colony algorithm, and Particle Swarm Optimization algorithm. …”
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Development of New Genetic Algorithm Software for Blow Mould Process
Published 2008“…The approach is based on newly development of Genetic Algorithm software. In this work, the objectives were to optimized parameters with newly develop software and compare with statistical software. …”
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10
Towards Software Product Lines Optimization Using Evolutionary Algorithms
Published 2019“…This research provides a framework to compare the performance of different multi-objective Evolutionary Algorithms in software product line context. We report on the problem encoding, variation operators and different types of algorithms: Indicator Based Evolutionary Algorithm (IBEA), Non-Dominated Sorting Genetic Algorithm II (NSGA-II), Multi-Objective Evolutionary Algorithms based on Decomposition (MOEA/D) and Strength Pareto Evolutionary algorithm II (SPEA-II). …”
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Proceeding Paper -
11
Comparative analysis of sine cosine and social network search-based algorithm for software test redundancy reduction optimization
Published 2024“…Addressing this issue as an optimization problem, many existing works adopts metaheuristic algorithms to eliminate redundancy. …”
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12
Particle swarm optimization (PSO) for CNC route problem
Published 2002“…We often see many of the method of Genetic Algorithm (GA), Ant Colony Optimization (ACO), Simulated Annealing Algorithm (SAA) and PSO are used for any optimization problems. …”
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Undergraduates Project Papers -
13
Maintain optimal configurations for large configurable systems using multi-objective optimization
Published 2022“…Hence, multiobjective evolutionary algorithms help to optimize the configuration process of SPL. …”
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Message based random variable length key encryption algorithm.
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Multiobjective evolutionary algorithms NSGA-II and NSGA-III for software product lines testing optimization
Published 2020“…Hence, the testing process of SPL can utilize a multi-objective optimization algorithm to optimize the testing process. …”
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Proceeding Paper -
17
Software defect prediction framework based on hybrid metaheuristic optimization methods
Published 2015“…The classification algorithm is a popular machine learning approach for software defect prediction. …”
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A kidney algorithm with elitism for combinatorial testing problem
Published 2020“…Kidney algorithm (KA) is a recent computational AI algorithm with sufficient optimization capability which outperforms the other AI algorithms (such as Genetic Algorithm (GA), Cuckoo Search (CS), Particle Swarm Optimization (PSO), Harmony Search (HS)) from some aspects. …”
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20
Tie-breaking in social network search algorithm for software test redundancy reduction optimization problem
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