Search Results - (( java optimization modified algorithm ) OR ( mode solution using algorithm ))

OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”

Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization by Khosropanah, Pegah, Ramli, Abdul Rahman, Lim, Kheng Seang, Marhaban, Mohammad Hamiruce, Ahmedov, Anvarjon

“…In this paper, we introduce a fused multivariate empirical mode decomposing (MEMD) and inverse solution algorithm with an embedded unsupervised eye blink remover in order to localize the epileptogenic zone accurately. …”
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Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA) by Mohiuddin, A. K. M., Ashour, Ahmed Aly Ibrahim Shaaban, Yap, Haw Shin

“…By using the MOGA optimization approach in mode Frontier, multi-objective optimization could be done by coupling with several software environment; this does not require any modification of the original model. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization by Khosropanah, Pegah, Ramli, Abdul Rahman, Lim, Kheng Seang, Marhaban, Mohammad Hamiruce, Ahmedov, Anvarjon

“…In this paper, we introduce a fused multivariate empirical mode decomposing (MEMD) and inverse solution algorithm with an embedded unsupervised eye blink remover in order to localize the epileptogenic zone accurately. …”
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University class timetable tool by Ang, Wen Jie

“…In this project, the newly constraints related to the study modes in the timetable scheduling will be defined, genetic algorithm will be studied and used to solve the timetabling problem. …”
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Refinement of Tuned Mass Damper parameters on machine support structure using dynamic Cuckoo Search algorithm by Ahmad Muinuddin, Mahmood, Zamri, Mohamed, Rosmazi, Rosli

“…The descend rate to the final solution is a combination of exploration mode (bigger search area) and exploitation mode (more specific area). …”
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EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method by Khosropanah, Pegah

“…Therefore, in this study a coupled Multivariate Empirical Mode Decomposition (MEMD) with embedded automated artifact remover algorithm and inverse solution method is proposed. …”
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Linear quadratic regulator with genetic algorithm for flexible structures vibration control by Jafari, Mohammad

“…The comprehensive account is given by way of a generic example with the solution of LQR problem using genetic algorithm for this structure. …”
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Modelling and optimization of a transit services with feeder bus and rail system / Mohammadhadi Almasi by Mohammadhadi, Almasi

“…In this study, optimized transit services and coordinated schedules are developed using metaheuristic algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), water cycle algorithm (WCA) and imperialist competitive algorithm (ICA). …”
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A Mininet emulation study for SDN fat tree data center sleep mode routing algorithms by Fawzi S., Din N.M.

“…In this scenario, the implementation of sleep mode in software defined network (SDN) data centres could provide an energy aware solution. …”

Control of an inverted pendulum using MODE-based optimized LQR controller by Tijani, Ismaila B., Akmeliawati, Rini, Abdullateef, Ayodele I.

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Attack path selection optimization with adaptive genetic algorithms by Abd Rahman, A.S., Zakaria, M.N., Masrom, S.

“…This paper describes our project that has the ultimate goal of providing optimized solutions for enterprise network security. We describe our approach for implementing an optimized security assessment using Genetic Algorithm (GA). …”
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Attack path selection optimization with adaptive genetic algorithms by Abd Rahman, A.S., Zakaria, M.N., Masrom, S.

“…This paper describes our project that has the ultimate goal of providing optimized solutions for enterprise network security. We describe our approach for implementing an optimized security assessment using Genetic Algorithm (GA). …”
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Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

“…Experimental results demonstrate that the proposed algorithms (Min- Diff, Max-Average and ELB) are able to produce good quality solution when compared with the existing algorithm.…”
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Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization by Hazmi Wahab, Muhammad Hafizul

“…In order to address this, a novel solution called Decomposition-based Multi-objective Differential Evolution (MODE/D) is proposed. …”
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Novel Adaptive Bacterial Foraging Algorithms for Global Optimisation with Application to Modelling of a TRS by Ahmad Nor Kasruddin, Nasir, Nor Maniha, Abd Ghani, Tokhi, M. O.

“…On the contrary, if a small step size is used, an optimal solution may be achieved, but at a very slow pace, thus affecting the speed of convergence. …”
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Wireless network power optimization using relay stations blossoming and withering technique by Al-Samawi, Aida, Sali, A., Nissirat, Liyth Ahmad, Noordin, Nor Kamariah, Othman, Mohamed, Hashim, Fazirulhisyam

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Impatient job scheduling under cloud computing by Mahdi, Nawfal A.

“…The proposed algorithm was transplanted in an adopted scheduling algorithm and tested using simu-lation with a synthetic dataset. …”
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A fractional-order sliding mode control for nominal and underactuated satellite attitude controls by Ismail, Zuliana, Varatharajoo, Renuganth, Chak, Yew Chung

“…Sliding mode control (SMC) is widely used in many existing nonlinear control solutions due to its capability against external disturbances and uncertainties, while the fractional order control (FOC) is employed as it can further enhance the control performance due to its robustness. …”
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