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Multistage optimal homotopy asymptotic method for solving initial-value problems
Published 2016“…In this paper, a new approximate analytical algorithm namely multistage optimal homotopy asymptotic method (MOHAM) is presented for the first time to obtain approximate analytical solutions for linear, nonlinear and system of initial value problems (IVPs).This algorithm depends on the standard optimal homotopy asymptotic method (OHAM), in which it is treated as an algorithm in a sequence of subinterval. …”
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Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar
Published 2015“…The edge reduction algorithm is initially applied to reduce the search space to obtain the initial solution. …”
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Thesis -
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Solving Zhou's chaotic system using Euler's method
Published 2010“…An algorithm for Euler’s method is used to obtain an approximation for the initial-value problem for ordinary differential equation. …”
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Hybrid artificial immune system-genetic algorithm optimization based on mathematical test functions
Published 2023“…Secondly, a Genetic Algorithm is typically initializing population randomly. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim
Published 2011“…This system uses four steps of Genetic Algorithm technique which are initialization, evaluation, crossover and mutation to produce the new timetable. …”
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Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct...
Published 2023“…A hybrid of WOA and artificial immune system (WOA-AIS) was initiated to address the constrained optimisation. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy
Published 2020“…Hence, EBA which is the proposed method is able to develop target searching algorithm for swarm robotic system and tuning PD controller gains for wheeled mobile robot.…”
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Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…The heuristic initialization is applied to determine a set of initial solution of the islands. …”
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A hybrid bat–swarm algorithm for optimizing dam and reservoir operation
Published 2019“…Recently, evolutionary algorithms (EA) are used to develop optimal operation rules for dam and reservoir water systems. …”
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Multi-Objective Optimization of Solar Powered Irrigation System by Using Genetic Algorithm
Published 2015“…Thus, Genetic Algorithm is applied to solve multiple objective solar-irrigation system optimization. …”
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Final Year Project -
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Enhancement on the modified artificial bee colony algorithm to optimize the vehicle routing problem with time windows
Published 2022“…This study proposes an enhanced Modified ABC (E-MABC) algorithm which includes (i) N-MABC that overcomes the shortage of neighborhood selection by exchanging the neighborhood structure between two different routes in the solution; (ii) MABC-ACS that solves the issues of knowledge absence in MABC population initialization by incorporating ant colony system heuristics, and (iii) PMABC which addresses the occasional stops proceeding to the global optimum by introducing perturbation that accepts an abandoned solution and jumps out of a local optimum. …”
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Thesis