Search Results - (( program scale optimization algorithm ) OR ( java application learning algorithm ))
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Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan
Published 2018“…Before incorporating the optimization methods, a sizing algorithm for large-scale GCPV systems was developed. …”
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A Fast, Multi-Period Economic Load Dispatch for Large-Scale Power Systems
Published 2002“…This paper presents optimizes economic load dispatch for large-scale power systems. …”
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An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints
Published 2015“…The vehicle routing problem is a combinatorial optimization and integer programming problem seeking to service a number of customers with a fleet of vehicles. …”
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Fast multi-period economic dispatch for large-scale power systems
Published 1999“…This paper presents optimized multi-period economic dispatch solution for large-scale power system operations. …”
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Dynamic Economic Dispatch For Large Scale Power Systems: A Lagrangian Relaxation Approach
Published 1991“…The dynamic multi-period economic dispatch problem for large-scale power systems is modelled as a linear programming problem. …”
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Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales
Published 2018“…Mathematical optimization algorithms can help in finding efficient reservoir operating strategies taking into account complex system constraints and hydrologic uncertainty. …”
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Automatic marking system for programming subject
Published 2023“…This project is a web application designed for lecturer that teaching programming subject to automatically mark programming algorithm exercise. …”
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Final Year Project / Dissertation / Thesis -
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Design and implementation of an optimal fuzzy logic controller using genetic algorithm
Published 2008“…Said approach was first simulated using MATLAB/SIMULINK using the techniques of Proportional Derivative Fuzzy Logic Controller (PD-FLC) whose membership function, fuzzy logic rules and scaling gains were optimized by the genetic algorithm technique. …”
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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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Optimization of Multilayer Perceptron (MLP) network training algorithms for agrwood oil quality separation / Noratikah Zawani Mahabob ... [et al.]
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Conference or Workshop Item -
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Power system network splitting and load frequency control optimization using ABC based algorithms / Kanendra Naidu a/l Vijyakumar
Published 2015“…This research presents a modified optimization program for the system splitting problem in large scale power system based on Artificial Bee Colony algorithm and graph theory. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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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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Power system intentional islanding for different contingency scenarios using discrete optimization technique
Published 2023“…Hence, this thesis proposed a Modified Discrete Evolutionary Programming (MDEP) to determine the optimal intentional islanding strategies for different large-scale power systems following a critical line outage. …”
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