Search Results - (( evolution optimisation based algorithm ) OR ( _ constructing method algorithm ))
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B-spline curve fitting with different parameterization methods
Published 2020“…After generating control points, distance between the generated and original data points is used to identify the error of the algorithm. Later, genetic algorithm and differential evolution optimization are used to optimise the error of the curve. …”
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Final Year Project / Dissertation / Thesis -
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Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods
Published 2017“…This study sought to examine the performance of three newly proposed techniques, for reliability assessment of the power systems, namely Disparity Evolution Genetic Algorithm (DEGA), Binary Particle Swarm Optimisation (BPSO), and Differential Evolution Optimization Algorithm (DEOA). …”
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Thesis -
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Performance evaluation and benchmarking of an extended computational model of ant colony system for DNA sequence design
Published 2014“…Ant colony system (ACS) algorithm is one of the biologically inspired algorithms that have been introduced to effectively solve a variety of combinatorial optimisation problems. …”
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A competitive co-evolutionary approach for the nurse scheduling problem
Published 2026“…The competitive approach further exhibits smoother convergence behaviour across generations, indicating stronger optimisation dynamics and improved robustness. These findings demonstrate that competitive co-evolution provides an effective and practical alternative to static fitness-based evolutionary methods for nurse scheduling, with broader applicability to healthcare scheduling and constraint optimisation problems.…”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
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Stock market turning points rule-based prediction / Lersak Photong … [et al.]
Published 2021“…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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Book Section -
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iBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems
Published 2024“…In addition, a new optimisation model for finding optimum parameter values in the MEDF and an algorithm for transmuting a 1D quantitative feature into a respective categorical feature are developed to facilitate the model. …”
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An evolutionary based features construction methods for data summarization approach
Published 2015“…Here, feature construction methods are applied in order to improve the descriptive accuracy of the DARA algorithm.This research proposes novel feature construction methods, called Variable Length Feature Construction without Substitution (VLFCWOS) and Variable Length Feature Construction with Substitution(VLFCWS), in order to construct a set of relevant features in learning relational data. …”
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Research Report -
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Construction of Cryptographically Strong S-Boxes Inspired by Bee Waggle Dance
Published 2023“…Cryptography; Bee Algorithm; Bee Waggle Dance; Box construction; Power functions; Substitution boxes; Heuristic methods…”
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Sequential constructive algorithm incorporate with fuzzy logic for solving real world course timetabling problem
Published 2020“…Sequential constructive algorithm is one of the popular methods for solving timetabling problems. …”
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Conference or Workshop Item -
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Optimized feature construction methods for data summarizations of relational data
Published 2014“…In this thesis, novel feature construction methods are introduced and a question of whether or not the descriptive accuracy of the summarized data can benefit from the novel feature construction methods is investigated. …”
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Thesis -
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Sequential Constructive Algorithm incorporate with Fuzzy Logic for Solving Real World Course Timetabling Problem
Published 2020“…Sequential constructive algorithm is one of the popular methods for solving timetabling problems. …”
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A self‐configured link adaptation for green LTE downlink transmission
Published 2015“…Current and next‐generation cellular networks require such interactive techniques in order to be self‐optimised without complex modifications.…”
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Risk assessment for safety and health algorithm for building construction in Oman
Published 2015“…Instead, it is suggested that results be verified with an alternative method of assessing risk, such as RASH. In conclusion, RASH is an alternative and effective method for the assessment of safety and health risks in building construction in Oman.…”
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Thesis -
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Ant system-based feature set partitioning algorithm for classifier ensemble construction
Published 2016“…Experimental results on several datasets from University of California, Irvine have shown that the proposed algorithm has successfully constructed better classifier ensembles.…”
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Strategies for effective value management practice in construction industry
Published 2017“…The objectives were to develop a new optimisation algorithm and apply the results to control construction project costs. …”
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Thesis
