Search Results - (( development plan optimisation algorithm ) OR ( java application customization algorithm ))
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1
Development of a Tuneable Test Problem Generator for Assembly Sequence Planning and Assembly Line Balancing
Published 2012“…Numerous research works in assembly sequence planning and assembly line balancing mainly focus on developing algorithms to solve problems and to optimise assembly sequence planning and assembly line balancing. …”
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2
Intergrated multi-objective optimisation of assembly sequence planning and assembly line balancing using particle swarm optimisation
Published 2013“…The aim of this research is to establish a methodology and algorithm for integrating ASP and ALB optimisation using Particle Swarm Optimisation. …”
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3
Optimisation of energy efficient Assembly Sequence Planning using Moth-Flame Optimisation alghorithm
Published 2019“…In assembly optimisation, Assembly Sequence Planning (ASP) refers to the activity of finding the best possible assembly sequences developed on the foundation of assembly modelling. …”
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4
Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail
Published 2024“…In this study, a new optimisation algorithm termed Hybrid Evolutionary-Barnacles Mating Optimisation (HEBMO) was initially formulated to solve optimisation problems. …”
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5
Embedded Meta evolutionary-firefly algorithm-ANN for multi dg planning in distribution system / Siti Rafidah Abdul Rahim
Published 2019“…The voltage dependent load has a main impact on distribution system planning studies. In achieving optimal allocation of DG, two techniques were proposed to study the DG planning which is the ranking identification for DG installation and the integrated clustering development and pre-developed EMEFA was employed.…”
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6
A bacteria foraging algorithm for solving integrated multi-period cell formation and subcontracting production planning in a dynamic cellular manufacturing system
Published 2011“…In addition, a newly-developed BFA-based optimisation algorithm has been compared with the branch and bound algorithm. …”
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7
Evolvable traffic signal control for intersection congestion alleviation with enhanced particle swarm optimisation
Published 2017“…This work simulates traffic system and develop an optimising algorithm to instruct the traffic signal timing plan. …”
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Proceedings -
8
Bee colony optimisation of the travelling salesman problem in light rail systems
Published 2019“…The study reported in this paper aimed to identify the most efficient algorithm and develop a mathematical model based on artificial bee colony optimisation to solve this problem in light rail transit systems. …”
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Metaheuristic algorithms applied in ANN salinity modelling
Published 2024“…The CPSOCGSA performance was evaluated by various single-based ones, including multi-verse optimiser (MVO), marine predator's optimisation algorithm (MPA), particle swarm optimiser (PSO), and the slim mould algorithm (SMA). …”
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Optimised multi-robot path planning via smooth trajectory generation
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Final Year Project / Dissertation / Thesis -
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Optimization of Feeder Bus Routes for Electric Train Service using Ant Colony Algorithm
Published 2014“…In order to address this issue, an optimised feeder bus system is proposed. Hence, to achieve this, various optimisation algorithm needs to be studied and researched. …”
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Final Year Project -
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Gps solution for active queue management using android platform
Published 2021“…Since queueing in different locations is considered as a optimisation problem, several algorithms are reviewed to tackle the problem, such as brute force method, nearest neighbour algorithm, and branch and bound algorithm. …”
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Optimisation of distributed generation in electric power systems using fuzzy-genetic algorithm approach
Published 2011“…This research work is concluded with a software development. The package called Power Flow Analysis and DG Optimisation Tool (PFADOT) is developed using the Graphical User Interface (GUI) of MATLAB. …”
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14
Gait identification and optimisation for amphi-underwater robot by using ant colony algorithm
Published 2019“…For the optimization, the robot will travel from one specific point to another with the predefined position within optimized gait and fastest time by using Ant Colony Optimization (ACO) technique. The algorithm being compared, between Ant Colony Algorithm (ACO) and the Particle Swarm Optimisation (PSO) in terms of time and distance. …”
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Predicting YSPSAH's product preferences across department of private hospitals
Published 2025“…Future enhancements could involve integrating real-time data and testing advanced forecasting algorithms to improve model performance. Overall, this project demonstrates the potential of predictive modelling and MBA to transform historical sales data into strategic knowledge, optimising procurement planning and enhancing operational efficiency in the pharmaceutical industry.…”
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Student Project -
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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function
Published 2019“…Traditionally, the common practice is to identify a fixed timing plan profile via offline and assumed it as a "nominal optimised" for the actual traffic flow. …”
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Path planning for visually impaired people in an unfamiliar environment using particle swarm optimization
Published 2015“…The PSO algorithm will optimise possible shortest route by minimizing the total cost for path length. …”
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Prioritisation assessment and robust predictive model for a comprehensive medical equipment maintenance using machine learning techniques / Aizat Hilmi Zamzam
Published 2022“…The achievement of objective 1 demonstrates that the SVM, DT, and NN classifiers have developed optimised predictive models for first failure, failure to year ratio, and failure rectification action, respectively. …”
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An optimization method of genetic algorithm for lssvm in medium term electricity price forecasting
Published 2023“…This is due to the limited historical data for training and testing purposes. Therefore, an optimisation technique of Genetic Algorithm (GA) for Least Square Support Vector Machine (LSSVM) was developed in this study to provide an accurate electricity price forecast with optimised LSSVM parameters and input features. …”
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Novel techniques for voltage stability assessment and improvement in power system / Ismail Musirin.
Published 2004“…Finally, a novel Reactive Power Planning R.PP) algorithm using the state-of-the-art of EP for voltage stability improvement was developed. …”
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