Search Results - (( evolution activation function algorithm ) OR ( gate operation based algorithm ))

Evalution of binary simulated Kalman filter and its application on airport gate scheduling by Zarifah, Mohamad Nor

“…Exploitation of the distance between an agent and the best agent let the SKF operates in binary search space. In this study, the airport gate allocation problem is solved using extended version of Simulated Kalman Filter algorithm called Binary Simulated Kalman Filter (BSKF).The main objective of this study is to minimize the total walking distance of passengers either from a gate to entrance/exit or gate to a gate. …”
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Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm by Chong, Kok Hen

“…The GA process (Inter Loop GA), crossover operator (Fix Multiple Point Crossover), mutation operator (Random Discrete Mask Mutation) and fitness function (Constraint Fitness and Gate Optimization Fitness) were developed in this research. …”
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Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

“…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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PREDICTIVE ANALYTICS FOR EQUIPMENT FAILURE BY USING GATED RECURRENT UNIT – GENETIC ALGORITHM (GRU – GA) by ZAINUDDIN, ZAHIRAH

“…In this case, Deep Learning (DL) is chosen to construct the prediction activity for estimating the life expectancy of an equipment. Gated Recurrent Unit (GRU) algorithm is used to cater the predicting action of equipment state based on data from an oil and gas industry.…”
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FPGA based Twofish Algorithm by Muhammad Imran, Ahmad, Mohd Nazrin, Md Isa, Abdul Halis, Abdul Aziz, Mohd Fisol, Osman

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The development of RNA logic gates library for the construction of molecular information processing circuits / Lee Yiling by Lee , Yiling

“…Three different strategies were investigated in developing the logic gate library. Each strategy corresponds to the different severity level of substituting specific regions of the logic gate sequences (from minimal to very loose) based on the dependency of each base (to be paired or unpaired) in the two meta-states. …”
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Design and implementation of real data fast fourier transform processor on field programmable gates array by Ahmed, Mohammed Kassim

“…In this work, the memorybased FFT processor, based on radix-4 FFT algorithm is implemented on Cyclone II Field Programmable Gates Array (FPGA). …”
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

“…The Whale Optimisation Algorithm (WOA), Harris Hawks Optimisation (HHO) Algorithm, Lévy Flight WOA (LFWOA) and the Opposition-Based Learning of HHO (OBL-HHO) were proposed to simulate the initial model’s response and optimise the Klang Gate Dam (KGD) release operation with observed inflow, water level (storage), release, and evaporation rate (loss). …”
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS. by FAROOQ, HUMERA

“…The Genetic Algorithm is an area in the field of Artificial Intelligence that is founded on the principles of biological evolution. …”
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Application of the Whale Optimization Algorithm (WOA) in Reservoir Optimization Operation Under Investigation of Climate Change Impact: A Case Study at Klang Gate Dam, Malaysia by Lai V., Huang Y.F., Koo C.H., Ahmed A.N., El-Shafie A.

“…The effectiveness of analyzing large amounts of data that comes with engaging climate change scenarios, for planning advanced reservoir management can be achieved through the use of optimization algorithms. The Whale Optimization Algorithm (WOA) is a swarm intelligence algorithm derived following animal-behaviour-based concepts. …”

Fast algorithm analysis and bit-serial architecture design for sub-pixel motion estimation in H.264 by Fatemi, M.R.H., Ates, H.F., Salleh, R.

“…In the architecture level, we propose a novel bit-serial architecture for our algorithm. Due to advantages of the bit-serial architecture, it has a low gate count, high speed operation frequency, low density interconnection, and a reduced number of I/O pins. …”
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An improved grey wolf with whale algorithm for optimization functions by Asgher, Hafiz Maaz

“…The performance of the proposed algorithm is tested and evaluated on five benchmarked unimodal and five multimodal functions. …”
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Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm by Lim, Mui Liang

“…Traditional Encryption Algorithms are implemented in software base because of the complexities involved in the operations. …”
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Multi-directional matrix converter for low power application using field-programmable gate array by Toosi, Saman

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Adaptive Initial Contour and Partly-Normalization Algorithm for Iris Segmentation of Blurry Iris Images by Jamaludin, Shahrizan, Mohamad Ayob, Ahmad Faisal, Mohd Norzeli, Syamimi, Mohamed, Saiful Bahri

“…Next, the adaptive initial contour (AIC), δ, and stopping function were integrated to create the adaptive Chan-Vese active contour (ACVAC) algorithm. …”
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Improved genetic algorithm for direct current motor high speed controller implemented on field programmable gate array by Alkhafaji, Falih Salih

“…There are many researches have been done to optimize PI controller based evolutionary algorithm, such as Genetic Algorithm (GA). …”
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Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique by Lai V., Huang Y.F., Koo C.H., Ahmed A.N., Sherif M., El-Shafie A.

“…In this study, an attempt via metaheuristic algorithms, namely the Harris Hawks Optimisation (HHO) Algorithm and the Opposite Based Learning of HHO (OBL-HHO) are made to minimise the water deficit as well as mitigate floods at downstream of the Klang Gate Dam (KGD). …”

Dynamic smart grid communication parameters based cognitive radio network by Haider H.T., Muhsen D.H., Shahadi H.I., See O.H., Elmenreich W.

“…The proposed system helps to drive optimal communication parameters to realize power saving, maximum throughput and minimum bit error rate communication modes. A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. …”

Design of field programmable gate array-based proportional-integral-derivative fuzzy logic controller with tunable ganin by Obaid, Zeyad Assi

“…Many of fuzzy control applications require real-time operation; higher density programmable logic devices such as Field Programmable Gate Array (FPGA) can be used to integrate large amounts of logic in a single IC. …”
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Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

“…Additionally, the proposed Hybrid Differential Evolution Algorithm was implemented into the training phase to ensure that the cost function of the Discrete Hopfield Neural Network is minimized. …”
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