Search Results - (( strategy implementation case algorithm ) OR ( java data optimization algorithm ))

Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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Construction of prioritized t-way test suite using Bi-objective Dragonfly Algorithm by Ahmed, Mashuk, Nasser, Abdullah B., Kamal Z., Zamli

“…Therefore, the significance of test case prioritization is quite high. For this reason, this paper has proposed a t-way strategy that implements an adaptive Dragonfly Algorithm (DA) to construct prioritized t-way test suites. …”
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Pairwise Test Data Generation based on Flower Pollination Algorithm by Nasser, Abdullah B., Alsewari, Abdulrahman A., Tairan, Nasser M., Kamal Z., Zamli

“…Recently, many existing works are focusing on the use of Search-Based algorithms as the basis of the implementation algorithm; however, there is no single strategy that can be the best for all cases. …”
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Test Cases Minimization Strategy Based On Flower Pollination Algorithm by Ho, Chai Har, Al-Sewari, Abdul Rahman Ahmed Mohammed

“…Hence, a test cases minimization strategy is an essential to obtain an optimize test cases and consequently, time will also be reducing. …”
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Comparative Performance Analysis of Flower Pollination Algorithm and Harmony Search based strategies: A Case Study of Applying Interaction Testing in the Real World by Nasser, Abdul B., Alsewari, Abdulrahman A., Mu’azu, Aminu A., Kamal Z., Zamli

“…Recently, adapting optimization algorithm for T-way testing is very interested. As a consequence, many t-way optimization algorithm based strategies have been designed and implemented. …”
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Comparative Analysis of Neighborhood based Meta-heuristic Algorithms for MC/DC Test Data Generation by Ariful, Haque, Kamal Z., Zamli

“…As a result, many meta-heuristic based strategy implementations have appeared in the literature. …”
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A random search based effective algorithm for pairwise test data generation by Sabira, Khatun, K. F., Rabbi, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

“…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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T-way test data generation startegy with MBO algorithm by Hasneeza, L. Zakaria, Kamal Z., Zamli

“…This paper presented the implementation of a nature inspired metaheuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. …”
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A hybrid kidney algorithm strategy for combinatorial interaction testing problem by Ameen Ali, Mohammed Ba Homaid

“…Recent studies have implemented hybrid metaheuristic algorithms as the basis for CIT strategy. …”
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Scalable approach for mining association rules from structured XML data by Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah

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EasyA: Easy and effective way to generate pairwise test data by Rabbi, Khandakar Fazley, Sabira, Khatun, Che Yahaya, Yaakub, Klaib, Mohammad F. J.

“…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm by Mohammed Abdullah, Abdullah Nasser

“…Addressing these aforementioned issues and complementing the existing sequence based strategies such as t-SEQ, Sequence Covering Array Generator and Bee Algorithm, this thesis presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA). …”
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Hybridmigrating birds algorithm starategy for t-way test suite generation by H. L., Zakaria, Kamal Z., Zamli, Fakhrud, Din

“…This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to away test data generation strategy. …”
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Implementation of an inverse-model-based control strategy using neural networks on a partially simulated exothermic reactor by Hussain, Mohd Azlan, Kershenbaum, L.S.

“…This paper describes a novel implementation of a neural network inverse-model based control method on a experimental system-a partially simulated reactor, designed to test the use of such non-linear algorithms. …”
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Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation by Hasneeza, L. Zakaria, Kamal Z., Zamli, Fakhrud, Din

“…This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. …”
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Implementing a T-Way Test Generation Strategy Using Bees Algorithm by Mohd Hazli, Mohamed Zabil, Kamal Z., Zamli

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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…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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Application of artificial neural network genetic algorithm in inferential estimation and control of a distillation column by Chen, Wah Sit

“…Comparisons were also made to the feedforward network model trained using Levenberg-Marquardt (LM) training algorithm as well as Elman network. When implemented on-line, GA-based ANN model was proved to be more efficient. …”
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