Search Results - (( using interactive model algorithm ) OR ( basic optimisation based algorithm ))
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Parametric modelling of a TRMS using dynamic spread factor particle swarm optimisation
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Proceeding Paper -
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Local search manoeuvres recruitment in the bees algorithm
Published 2011“…Swarm intelligence of honey bees had motivated many bioinspired based optimisation techniques. The Bees Algorithm (BA) was created specifically by mimicking the foraging behavior of foraging bees in searching for food sources.During the searching, the original BA ignores the possibilities of the recruits being lost during the flying.The BA algorithm can become closer to the nature foraging behavior of bees by taking account of this phenomenon.This paper proposes an enhanced BA which adds a neighbourhood search parameter which we called as the Local Search Manoeuvres (LSM) recruitment factor.The parameter controls the possibilities of a bee extends its neighbourhood searching area in certain direction.The aim of LSM recruitment is to decrease the number of searching iteration in solving optimization problems that have high dimensions.The experiment results on several benchmark functions show that the BA with LSM performs better compared to the one with basic recruitment.…”
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Conference or Workshop Item -
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Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman
Published 2012“…After testing the developed jigsaw puzzle by comparing the result with automatic jigsaw puzzle solver using Backtracking algorithm, it shows that Backtracking algorithm are not suitable algorithm to be used to develop the interactive jigsaw puzzle because it takes longer time in solving the game as compared to Backtracking algorithm that used in automatic jigsaw puzzle solver that was found in previous research.…”
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Thesis -
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Prime-based method for interactive mining of frequent patterns
Published 2010“…Since rerunning the mining algorithms from scratch can be very time consuming, researchers have introduced interactive mining to find proper patterns by using the current mining model with various minsup. …”
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Thesis -
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…In this work, we aim to find the significant interaction forces and detect the abnormality in the crowd by using Self-Adaptive Social Force Model. …”
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Thesis -
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Unit commitment in power system using multi-agent evolutionary programming incorporating priority listing optimisation technique / Muhammad Nazree Che Othman
Published 2013“…The search process then being refined using heuristic EP-based algorithm with multi-agent approach to produce the final solution. …”
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Thesis -
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Handover Parameter for Self-optimisation in 6g Mobile Networks: A Survey
Published 2024journal::journal article -
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SYSTEM IDENTIFICATION AND MODEL PREDICTIVE CONTROL FOR INTERACTING SERIES PROCESS WITH NONLINEAR DYNAMICS
Published 2009“…This thesis discusses the empirical modeling using system identification technique and the implementation of a linear model predictive control with focus on interacting series processes. …”
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Thesis -
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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…In this paper, we propose a new method based on prime number and its characteristics mainly for interactive mining of frequent patterns. Our method isolates the mining model from the mining process such that once the mining model is constructed; it can be frequently used by mining process with various minimum support thresholds. …”
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Article -
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…A tool termed as VIGA-20 (Visualization of Genetic Algorithm using 2-0 Graph) is implemented to accomplish this goal. …”
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Thesis -
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Interactive framework for dynamic modelling and active vibration control of flexible structures
Published 2008“…The design and implementation of the interactive learning system incorporating the simulation algorithms, modelling and control strategies, are developed using MATLAB. …”
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Article -
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A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling
Published 2009“…A set of data in a size of 38 × 4 and 22 × 4 were used for training and testing the performance of the model. …”
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Article -
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Decentralized Adaptive Pi With Adaptive Interaction Algorithm Of Wastewater Treatment Plant
Published 2014“…The Pi controller parameters are obtained by using simple updating algorithm developed based on adaptive interaction theory. …”
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Verification of correctness properties for aggregation behavior of swarm robotics system using spin model checker / Siti Shafinaz Ali
Published 2015“…This algorithm is based on PFSA only relies on local interactions between individuals, the extensibility of the algorithm is very weak. …”
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Thesis -
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Verification correctness properties for aggregation behavior of swarm robotics system using SPIN model checker / Siti Shafinaz Ali
Published 2015“…This algorithm is based on PFSA only relies on local interactions between individuals, the extensibility of the algorithm is very weak. …”
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Thesis -
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An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…Parametric and non-parametric modelling of such systems is investigated. Parametric approaches include linear parametric modelling of the system using recursive least squares (RLS) and genetic algorithms (GAS); and non-parametric approaches include multi-layered perceptron neural networks (MLP-NNs) and adaptive neuro-fuzzy inference systems (ANFIS) are employed. …”
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Thesis -
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User to user topic recommendation model for student social interaction
Published 2025“…The results show that the mean satisfaction level is 3.873. This model can be used in a working setting to trigger social interactions based on mutual interest. …”
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Thesis -
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Modeling the properties of terminal blend crumb rubber modified bitumen with crosslinking additives
Published 2025“…The results also suggest that it is feasible to implement a single type of model developed using the Matern 5/2 GPR algorithm for accurately predicting all the TB-CRMB properties considered. …”
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