Search Results - (evolution OR solution) ((computing techniques) OR (evaluation techniques))

Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization by Wahab, Muhammad Hafizul Hazmi, Abdul Hamid, Nor Asilah Wati, Subramaniam, Shamala, Latip, Rohaya, Othman, Mohamed

“…In order to address this, a novel solution called Decomposition-based Multi-Objective Differential Evolution (MODE/D) is proposed. …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio... by Daba, Layth Muwafaq Abdulhussein

“…Mobile edge computing (MEC) is a well-known technique to support delay-sensitive applications at the edge of mobile networks. …”
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PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

“…Unlike existing OBL-based techniques, the PMT generates more than one candidate in multiple solution-space directions. …”
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Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization by Hazmi Wahab, Muhammad Hafizul

“…The current approach encounters a significant hurdle due to the long execution time, especially when employing complex optimization techniques alongside a computationally expensive ATS repair operator that repairs multiple candidate solutions. …”
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Computational intelligence based approach for enhanced distance relay design by Anis Nabilah Mohd Sarwani

A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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Developing solution scheme to grade online student's workout answer on linear algebraic equation / Khairul Nurmazianna Ismail by Ismail, Khairul Nurmazianna

“…Secondly, permutation technique is used to increase the number of solutions. …”
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Programming Approach in Teaching Operations Research Techniques for Computer Science Students by Maarop, Nurazean, Masrom, Maslin

“…Most OR techniques are the core elements to model the programming solution. …”
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A Solution of Single Server and Multiserver General Queueing Systems Using a Linear Algebraic Approach by Mustafa, Mohammad Saleh

“…These procedure describe these systems such that a previously specified technique can be used to evaluate useful performance measurements which will help decision making. …”
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Wavelet digital watermarking system design and performance evaluation by Khalifa, Othman Omran, Yusof, Yusnita

“…Research community and industry has shown extensive interests in developing and implementing possible solutions via digital watermarking. Digital watermarking is distinctive depending on its techniques and applications. …”
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Two level Differential Evolution algorithms for ARMA parameters estimatio by Salami, Momoh Jimoh Emiyoka, Tijani, Ismaila, Aibinu, Abiodun Musa

“…The results of both examples show the effectiveness of the proposed algorithm over a well known conventional technique.…”
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Sistem penilaian kenaikan pangkat pensyarah secara sistemetik berasaskan sistem bantuan keputusan berkumpulan by Ismail, Siti Nurbaya

“…The evolution prototype approach and UML modeling technique have been applied as the development methodologies to build the new system. …”
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Critical review of object detection techniques for traffic light detection in intelligent transportation systems by Muhammad Adhwa, Mohd Salemi, Muhammad Arif, Mohamad

“…This study provides a critical review of object detection techniques specifically for traffic light detection, evaluating the evolution of machine learning frameworks, deep learning architectures, and hybrid optimization models. …”
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Computational model of stepwise quantitative assessment of equations correctness / Nuru'l - 'Izzah Othman by Othman, Nuru'l - 'Izzah

“…Hence, the underlying computational techniques of the model can be regarded as correct. …”
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An improved memory-based collaborative filtering method based on the TOPSIS technique by Al-Bashiri, Hael, Abdulgabber, Mansoor Abdullateef, Awanis, Romli, Kahtan, Hasan

“…This paper describes an approach for improving the accuracy of memory-based collaborative filtering, based on the technique for order of preference by similarity to ideal solution (TOPSIS) method. …”
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Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy technique for Order Of Preference By Similarity To Ideal Solution (TOPSIS) in selecting the best Information Technology (IT) progr... by Shah Bani, Nurshafiqah Aina

“…This research aims to evaluate the employer perspective in choosing the best programs in the IT field by using the Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). …”
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Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman by Isman, Muhammad Iskandar

“…ACO algorithm is the best solution because it included the optimization technique to optimized the result based on the data criteria needs. …”
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Numerical Solution for Fuzzy Diffusion Problem via Two Parameter Alternating Group Explicit Technique by A. A. Dahalan, Jumat Sulaiman

“…The computational technique has become a significant area of study in physics and engineering. …”
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Midrange exploration exploitation searching particle swarm optimization in dynamic environment by Nurul Izzatie Husna, Fauzi, Zalili, Musa, Nor Saradatul Akmar, Zulkifli

“…The main objective of this improvement is to enhance the searching ability of poor particles in finding the best solution in dynamic problems. In MEESPSO, we still applied the basic process in conventional Particle Swarm Optimization such as initialization of particle location, population evolution, and updating particle location. …”
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Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network by Ahmed, Abdulghani Ali

“…This technique applies a backpropagation algorithm to the CTU-13 dataset to train and evaluate the Botnet detection classifier. …”
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