Search Results - (( evolution computing techniques ) OR ( ((solution pruning) OR (solution using)) techniques ))*

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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Rule pruning techniques in the ant-miner classification algorithm and its variants: A review by Al-Behadili, Hayder Naser Khraibet, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

“…Finally, future research direction to find new hybrid rule pruning techniques are provided.…”
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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.

“…In this work, the trade-off solutions are obtained using the weighted-sum approach. …”
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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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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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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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Solving Sudoku puzzles in Binary Integer Linear Programming using Branch and Bound algorithm / Ahida Waliyyah Ahmad Fuad by Ahmad Fuad, Ahida Waliyyah

“…The research successfully formulates BILP models for various Sudoku configurations, including standard 4x4 and 9x9 grids as well as the more complex Sudoku X variant. Using the PuLP library in Python, the B&B algorithm is implemented to systematically explore feasible solutions while pruning infeasible branches, ensuring all Sudoku constraints are met. …”
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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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Hydroponic on rock melon using deep flow technique (dft) system by Anis Izz Zayani, Ariffin Kamal

“…Using a Deep Flow Technique (DFT), this research optimized growth parameters and developed a tailored nutrient solution, resulting in a germination rate of 85% and a significant increase in biomass after two weeks. …”
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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

“…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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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. …”

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 novel cell-selection optimization handover for long-term evolution (LTE) macrocellusing fuzzy TOPSIS by Hussein, Yaseein Soubhi, Ali, Borhanuddin M., A. Rasid, Mohd Fadlee, Sali, A., Mansoor, Ali Mohammed

“…To address this issue, we propose a multiple-criteria decision-making method. In this method, we use an integrated fuzzy technique for order preference by using similarity to ideal solution (TOPSIS) on S-criterion, availability of resource blocks (RBs), and uplink signal-to-interference-plus-noise ratio. …”
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Applications of Mash-ups for a Digital Journal by Muhammad Salman, Khan, Kulathuramaiyer, Narayanan, Maurer, Hermann

“…In this paper, we explore an innovative solution to address these problems by using an emerging Web 2.0 technology. …”
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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

“…The proposed model examines that ESNN improves by using K-DESNN model. This approach improves the flexibility of the ESNN algorithm in producing better solutions which is utilized to conquer the K-means disadvantages. …”
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IDSA: an efficient algorithm for skyline queries computation on dynamic and incomplete data with changing states by Gulzar, Yonis, Alwan, Ali Amer, Ibrahim, Hamidah, Turaev, Sherzod, Wani, Sharyar, Soomo, Arjumand Bano, Hamid, Yasir

“…Thus, this paper proposes an approach, named Incomplete Dynamic Skyline Algorithm (IDSA) which attempts to determine the skylines on dynamic and incomplete databases. Two optimization techniques have been incorporated in IDSA, namely: pruning and selecting superior local skylines. …”
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Review of adaptive cell selection techniques in LTE-advanced heterogeneous networks by Gadam, M. A., Abdulazeez Ahmed, Maryam, Ng, Chee Kyun, Noordin, Nor Kamariah, Sali, Aduwati, Hashim, Fazirulhisyam

“…By contrast, a cell selection technique based on adaptive bias is a more effective solution to traffic load balancing in terms of increasing data rate compared with static bias-based approaches. …”
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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

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

“…These fine-tuning techniques continue to be the object of ongoing research. …”
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