Search Results - (( solution construction based algorithm ) OR ( problem implementation using algorithm ))
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Design and statistical analysis of initial solution construction approach in curriculum based course timetabling problem
Published 2017“…This paper investigates the construction phase approach in which the sequential order of the courses/lectures applied several combination of graph heuristics to generate a population of initial solutions in curriculum-based course timetabling (CBCTT).The construction of population of initial solution is a prerequisite in a population-based metaheuristic implementation. …”
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2
Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…For this kind of problem, researchers believe that it will be better to find an approximate solution that can be delivered by a stochastic algorithm than waiting for an exact solution from the deterministic algorithm. …”
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3
Solving Examination Timetabling Problem using Partial Exam Assignment with Great Deluge Algorithm
Published 2015“…Constructing a quality solution for the examination timetable problem is a difficult task. …”
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4
Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem
Published 2008“…Complexity reduction approach concept is used to develop these algorithms. This approach split the solution domain into 1 3 and 2 3 compartments in 1D case and 1 9 and 8 9 compartments in 2D cases. …”
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5
Construction of initial solution population for curriculum-based course timetabling using combination of graph heuristics
Published 2016“…The construction of population of initial solution is a crucial task in population-based metaheuristic approach for solving curriculum-based university course timetabling problem because it can affect the convergence speed and also the quality of the final solution.This paper presents an exploration on combination of graph heuristics in construction approach in curriculum based course timetabling problem to produce a population of initial solutions.The graph heuristics were set as single and combination of two heuristics.In addition, several ways of assigning courses into room and timeslot are implemented.All settings of heuristics are then tested on the same curriculum based course timetabling problem instances and are compared with each other in terms of number of population produced.The result shows that combination of largest degree followed by saturation degree heuristic produce the highest number of population of initial solutions.The results from this study can be used in the improvement phase of algorithm that uses population of initial solutions…”
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6
A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm
Published 2021“…The proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. …”
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An ensemble of neural network and modified grey wolf optimizer for stock prediction
Published 2019“…The research implements stock prediction analysis as a case study for training the neural network by adopting MGWO algorithm. …”
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8
Ideal combination feature selection model for classification problem based on bio-inspired approach
Published 2020“…Such a finding indicates that the exploitation of bio-inspired algorithms with ideal combination of wrapper/filtered method can contribute in finding the optimal features to be used in data mining model construction.…”
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9
Feedforward neural network for solving particular fractional differential equations
Published 2024“…Then, a single hidden layer of FNN based on Chelyshkov polynomials with an extreme learning machine algorithm (SHLFNNCP-ELM) is constructed for solving FDEsC. …”
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10
Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan
Published 2013“…Sentiment Analysis for Malay Newspaper (SAMNews) is constructed using the negative selection algorithm which is able to classify the sentiment in newspaper’s sentences into the polarity (positive, negative or neutral) automatically repose on detectors word. …”
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Fuzzy methodologies for automated University timetabling solution construction and evaluation
Published 2008“…This thesis presents an investigation into the use of fuzzy methodologies for University timetabling problems. …”
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13
Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems
Published 2009“…Furthermore, variable switching times are known to cause problems in the implementation of any numerical algorithm due to the variable location of discontinuities in the dynamics. …”
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14
Evacuation routing optimizer (EROP) / Azlinah Mohamed … [et al.]
Published 2011“…With these solutions, the evacuation routing optimizer (EROP) is constructed. …”
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Research Reports -
15
Family of singly diagonally implicit block backward differentiation formulas for solving stiff ordinary differential equations
Published 2021“…Subsequently, the constant step size methods are implemented with the variable step size scheme. The scheme is proposed to optimize the total steps taken by the methods to approximate solutions which later displays a better performance in solving the problems. …”
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16
Optimal overcurrent relay coordination in wind farm using genetic algorithm
Published 2015“…Many suggestions have been made and approaches implemented, however one of the most prominent methods is the use of Genetic Algorithm (GA) to improve the function and coordination of OCRs. …”
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Enhancement of Security Architecture for Smartcard Based Authentication Protocols
Published 2004“…To identify the best cryptographic algorithm suitable for smartcard applications, the dissertation also investigates the implementation of Elliptic Curve encryption techniques and presents performance comparisons based on similar techniques. …”
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Parallel Block Methods for Solving Ordinary Differential Equations
Published 2004“…The new codes were then used for the parallel implementation in solving large systems of first and higher order ODEs. …”
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Solving ordinary differential equations using block multistep method
Published 2011“…An eficient code based on block multistep method is developed for solving first and higher order initial value problems (IVPs) of ordinary differential equations (ODEs) using variable step size strategy. …”
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20
Development of drift conversion algorithm for ISFET based pH sensor for continuous measurement system
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