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CSGO: a game-inspired metaheuristic algorithm for global optimization
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Conference or Workshop Item -
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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
Published 2014“…Most of the training algorithms focus on weight values, activation functions, and network structures for providing optimal outputs. …”
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An improved grey wolf with whale algorithm for optimization functions
Published 2022“…The performance of the proposed algorithm is tested and evaluated on five benchmarked unimodal and five multimodal functions. …”
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Thesis -
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Global optimization method for continuous - Time sensor scheduling
Published 2010“…We consider a situation in which several sensors are used to collect data for signal processing since operating multiple sensors simultaneously canses system interference, only one sensor can be active at any one time.The problem of scheduling a discrete-valued optimal control problem.This problem cannot be solved using conventional optimization problem.The Transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discreate filled function method in conjunction with a conventional optimal control algorithm.Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution.…”
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Article -
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A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm
Published 2019“…The aim of this model is to extend the proximity service (ProSe) and expand integrated global-local information exchange in the post-flood SAR activities. …”
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Gps solution for active queue management using android platform
Published 2021“…This proposed project proposes an active queue management system in multiple location integrated with GPS (Global Positioning System) Android mobile application. …”
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Final Year Project / Dissertation / Thesis -
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The effect of adaptive parameters on the performance of back propagation
Published 2012“…In this method, each training pattern has its own activation functions of neurons in the hidden layer. …”
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DEVELOPMENT OF A MULTI-OBJECTIVE OPTIMZATION FRAMEWORK FOR INDUSTRIAL PROCESSES
Published 2014“…The proposed framework is introduced as the 'surgery framework (SF)' since its prime functionality is to dissect the algorithm and add certain mechanisms into it. …”
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Optimal power flow using hybrid firefly and particle swarm optimization algorithm
Published 2020“…The particular fitness function is chosen as a single objective based on control parameters. …”
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Article -
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Optimization of supply chain management by simulation based RFID with XBEE Network
Published 2015“…This algorithm computes the optimal results of objective functions in a scientific manner. …”
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Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters
Published 2021“…Among the various configurations investigated, the perceptron neural network configured with hyperbolic tangent and sigmoid activation function at the hidden and outer layers, as well as the configuration with sigmoid activation functions at the hidden and outer layers, offer the best performance. …”
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Article -
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The reliability of halal product transportation using GPS tracking system
Published 2016“…A functional prototype device with a web based interface for reporting function was completely built and tested in different kind of situation. …”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…The modified πRKM is able to perform better partition by identifying the overlapping objects between the correct clusters and also capable to do a re-partition using the indiscernibility relation function. Thirdly, the local and global similarity algorithm is proposed to classify the current user pages request to produce recommendations. …”
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Thesis -
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Direct Tuning Phase-Shift Angle In Dab Dc-Dc Converter Using Moth Flame Optimization (Mfo) Algorithm
Published 2022“…With aforementioned results, the MFO algorithm have well-functioning in DAB system.…”
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Undergraduates Project Papers -
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Soft computing paradigms to find the numerical solutions of a nonlinear influenza disease model
Published 2021“…The aim of this work is to present the numerical results of the influenza disease nonlinear system using the feed forward artificial neural networks (ANNs) along with the optimization of the combination of global and local search schemes. The genetic algorithm (GA) and active-set method (ASM), i.e., GA-ASM, are implemented as global and local search schemes. …”
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