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

A survey of energy conservation techniques for mobile wireless communication devices by Chit, Suwannit Chareen

“…Mobile devices have undergone a tremendous evolution over the past two decades.Today, mobile devices are equipped with sensing, communication, computational and entertainment functionalities to deliver a myriad of services to its users.Running these functionalities, however, comes with a huge energy cost.In this paper, we survey general solutions for energy conservation in mobile devices.We classify and provide brief summaries of the energy conservation techniques based on their key research ideas. …”
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter by Kamisman, Norazelina

“…This thesis presents an efficient and reliable DE based solution applied to the Harmonics Elimination Pulse Width Modulation (HEPWM) switching technique for three phase voltage source inverters. …”
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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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Sensitivity analysis of GA parameters for ECED problem by Kamil K., Razali N.M.M., Teh Y.Y.

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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

“…However, the current approach faces a significant hurdle due to the computational intensity of the process, particularly when employing complex optimization techniques like swarm intelligence optimization alongside a costly ATS repair operator. …”
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Game-theoretic differential evolution for multiobjective optimization of green sand mould system by Ganesan, T., Vasant, P., Elamvazuthi, I., Shaari, K.Z.K.

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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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Applications of Mash-ups for a Digital Journal by Muhammad Salman, Khan, Kulathuramaiyer, Narayanan, Maurer, Hermann

“…The WWW is currently experiencing a revolutionary growth due to numerous emerging tools, techniques and concepts. Digital journals thus need to transform themselves to cope with this evolution of the web. …”
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PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

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Hybrid harmony search algorithm integrating differential evolution and lévy flight for engineering optimization by Qin, Feng, Azlan, Mohd Zain, Zhou, Kaiqing, Norfadzlan, Yusup, Dwi Prasetya, Didik, Rozita, Abdul Jalil, Zaheera, Zainal Abidin, Mahadi, Bahari, Yusri, Kamin, Mazlina, Abdul Majid

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Gas-Kinetic BGK Scheme for Supersonic Channel Flow Simulation by Chit, Ong J., Omar, Ashraf A., Asrar, Waqar, Ismail, Ahmad Faris

“…BGK scheme is an approximate Riemann solver that uses the collisional Boltzmann equation as the governing equation for flow evolutions. For efficient computations, particle distribution functions in the general solution of the BGK model are simplified and used for the flow simulations. …”
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A coevolutionary multiobjective evolutionary algorithm for game artificial intelligence by Tse, Guan Tan, Jason, Teo, Kim, On Chin, Alfred, Rayner

“…Recently, the growth of Artificial Intelligence (AI) has provided a set of effective techniques for designing computer-based controllers to perform various tasks autonomously in game area, specifically to produce intelligent optimal game controllers for playing video and computer games. …”
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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

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Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy by Al-Dabbagh, Rawaa Dawoud, Neri, Ferrante, Idris, Norisma, Baba, Mohd Sapiyan

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IMPROVEMENTS FOR UPLINK LONG TERM EVOLUTION (UL-LTE) IN HETEROGENEOUS NETWORK USING DYNAMIC SPECTRUM ALLOCATION TECHNIQUE by Othman N.I., Ismail A.F., Badron K., Hashim W., Pinardi S.

“…To maximise throughput in a heterogeneous network, the suggested DSA technique utilises the Nash Bargaining Solution (NBS) scheme, a cooperative game theory that could correlate with the bit error rate. …”

Hybrid Harmony Search Algorithm Integrating Differential Evolution and Lévy Flight for Engineering Optimization by Qin, Feng, AZLAN, MOHD ZAIN, KAI-QING, ZHOU, Norfadzlan, Yusup, DIDIK DWI, PRASETYA, ROZITA, ABDUL JALIL, ZAHEERA, ZAINAL ABIDIN, MAHADI, BAHARI, YUSRI, KAMIN, MAZLINA, ABDUL MAJID

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Vibrant search mechanism for numerical optimization functions by Shambour, Moh’d Khaled Yousef

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Application of Gas-Kinetic BGK Scheme for Solving 2-D Compressible Inviscid Flow around Linear Turbine Cascade by Abdusslam, Saleh N., Ong, Jiunn Chit, Hamdan, Megat M., Omar, Ashraf Ali, Asrar, Waqar

“…BGK scheme is an approximate Riemann solver that uses the collisional Boltzmann equation as the governing equation for flow evolutions. For efficient computations, particle distribution functions in the general solution of the BGK model are simplified and used for the flow simulations. …”
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Modification of species-based differential evolution for multimodal optimization by Al Idrus, Said Iskandar, Syahputra, Hermawan, Firdaus, Muliawan

“…Optimization problem is the problem of maximizing or minimizing a function of one variable or many variables, which include unimodal and multimodal functions. Differential Evolution (DE), is a random search technique using vectors as an alternative solution in the search for the optimum. …”
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Improvement of SCTP congestion control in the LTE-A network by Najm, I.A., Ismail, M., Lloret, J., Ghafoor, K.Z., Zaidan, B.B., Rahem, A.A.R.T.

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