Search Results - (( evolution optimization mining algorithm ) OR ( parallel implementation among algorithm ))

A permutation parallel algorithm under exchange restriction with message passing interface by Karim, Sharmila, Omar, Zurni, Ibrahim, Haslinda

“…The sequential algorithm is implemented to a parallel algorithm by integrating with Message Passing Interface (MPI) libraries by paralleling the starter sets generation task.The speedup and efficiency is the indicator tool for analyzing performance of this parallel algorithm.The results show reduction time computation of parallel algorithm among processors.…”
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New Quarter-Sweep-Based Accelerated Over-Relaxation Iterative Algorithms and their Parallel Implementations in Solving the 2D Poisson Equation by Rakhimov, Shukhrat

“…While all the above mentioned methods were implemented with SOR, among them, the QS point and MEG methods have never been implemented with AOR before. …”
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Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

“…During the retrieval phase, a new activation function and Swarm Mutation were proposed to ensure the diversity of the neuron states. The proposed algorithm and mutation mechanism showed optimal performances as compared to the existing algorithms. …”
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Logic mining method via hybrid discrete hopfield neural network by Guo, Yueling, Mohd Kasihmuddin, Mohd Shareduwan, Zamri, Nur Ezlin, Li, Jia, Romli, Nurul Atiqah, Mansor, Mohd Asyraf, Ruzai, Wan Nur Aqlili

“…The first contribution involves the incorporation of a Hybrid Differential Evolution Algorithm to accelerate the optimization of synaptic weights during the training phase. …”
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

“…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
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Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim by Che Ibrahim, Mohd Erman Safawie

“…This project focuses on step-up cluster computing and a parallel Genetic Algorithm. The objectives of this project to set-up Beowulf cluster computer to apply the Travelling Salesman Problem in parallel by using Genetic Algorithms and evaluate sequential algorithms and parallel algorithms by Genetic Algorithms. …”
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Seed disperser ant algorithm for optimization / Chang Wen Liang by Chang , Wen Liang

“…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

“…Since Plurality voting, among the popular and widely applied algorithms, has more correct responses even more than the most known and practical voting algorithm like majority and by relying on the benefit of parallel algorithms, we proposed parallel plurality voting with the minimum number of processors in an optimal time compared to its sequential type. …”
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Enhancing performance of XTS cryptography mode of operation using parallel design by Ahmed Alomari, Mohammad

“…To fully utilize the performance potential of XTS mode of operation, a parallel design for the algorithm is proposed. The enhanced XTS mode of operation is implemented using OpenMP (Open specifications for Multi Processing) by careful use of parallelism strategy to divide encrypted data evenly among the available processors. …”
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A GPU accelerated parallel genetic algorithm for the traveling salesman problem by Binjubier, Mohammed, Mohd Arfian, Ismail, Tusher, Ekramul Haque, Aljanabi, Mohammad

“…Such limitations could be alleviated by recommending an implementation of a parallelized genetic algorithm, further analyzing the impact of block size configuration for efficient runtime on the GPU. …”
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Design and analysis of high performance and low power matrix filling for DNA sequence allignment accelerator using ASIC design flow / Nurul Farhana Abd Razak by Abd Razak, Nurul Farhana

“…Among them Smith-Waterman (S-W) is the most sensitive (accurate) algorithm. …”
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Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…The experimental results show that predictive FDT algorithm can generate a relatively optimal tree without much computation effort (comprehensibility), and WFPRs have a better predictive accuracy of stock market time series data. …”
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Design and analysis of high performance and low power matrix filling for DNA sequence alignment accelerator using ASIC design flow: article by Abd Razak, Nurul Farhana

“…Among them Smith-Waterman (SW) is the most sensitive (accurate) algorithm. …”
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Descriptive analysis of patient diet trends at Pantai Hospital Ayer Keroh by Muhidin, Nurain Fatiha

“…Without effective data analysis, it is challenging to track dietary trends, assess patient preferences, and optimize meal preparation. To address this problem, this project focuses on enhancing various aspects of healthcare dietary operations by employing CRISP-DM as the methodology to structure the data mining process. …”
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Review of the grey wolf optimization algorithm: variants and applications by Liu, Yunyun, As’arry, Azizan, Hassan, Mohd Khair, Hairuddin, Abdul Aziz

“…The GWO algorithm offers several significant benefits, including simple implementation, rapid convergence, and superior convergence outcomes, leading to its effective application in diverse fields for solving optimization issues. …”
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Greedyzero-based scheduling algorithm to route in optical low stage interconnection networks by Moudi, Mehrnaz

“…The idea of optical implementation of MINs meet the ever increasing demands of high performance computing communication applications for high channel bandwidth, low communication latency and parallel processing. …”
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Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization by Hazmi Wahab, Muhammad Hafizul

“…Additionally, when the input size is tripled, the parallel multi-core MODE/D achieves a 7.9 speedup with 98.98% efficiency under static scheduling. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Review of the grey wolf optimization algorithm: variants and applications by Liu, Yunyun, As’arry, Azizan, Hassan, Mohd Khair, Hairuddin, Abdul Aziz, Mohamad, Hesham

“…The GWO algorithm offers several significant benefits, including simple implementation, rapid convergence, and superior convergence outcomes, leading to its effective application in diverse fields for solving optimization issues. …”
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OPTIMIZATION OF TWO FISH ENCRYPTION ALGORITHM ON FPGA by DORE RAJA, ANAND A RAJA

“…The demand for efficient and secure ciphers has given rise to a new generation of block ciphers capable of providing increased protection at lower cost. Among these new algorithms is Twofish. Twofish is a promising 128-bit block which was one of the 5 finalists in the National Institute of Standards and Technology organized competition as the Advanced Encryption Standard. …”
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