Search Results - (( basic computing data algorithm ) OR ( evolution optimisation based algorithm ))
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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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Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Computer B will send the data to the BASIC Stamp and the BASIC Stamp will check their program. …”
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Monograph -
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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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CSC645 - Algorithm Analysis and Design / College of Computing, Informatics and Media
Published 2022“…This course focuses on both the design and analysis of algorithms. It provides students with basic knowledge and techniques required to design efficient algorithms and analyse their efficiency, as well as demonstrate the key relationships between problem solving, algorithm design, data structures, programs and algorithm analysis, and the effects of the choices. …”
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CSC645: Algorithm Analysis and Design / College of Computing, Informatics and Mathematics
Published 2019“…This course focuses on both the design and analysis of algorithms. It provides students with basic knowledge and techniques required to design efficient algorithms and analyse their efficiency, as well as demonstrate the key relationships between problem solving, algorithm design, data structures, programs and algorithm analysis, and the effects of the choices. …”
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CSC126 - Fundamentals of Algorithms and Computer Problem Solving / Faculty of Computer And Mathematical Sciences
Published 2023“…Students will be taught to solve problems involving the 5 basic algorithms of summation, average, counting, as well as determining the minimum and maximum values of a set of data. …”
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Voting algorithms for large scale fault-tolerant systems
Published 2011“…By extracting various plots from different aspects, we demonstrated that, compared to the basic algorithm, our algorithm has higher reliability and availability as the quantity of the input data increases. …”
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Thesis -
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
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A network based fetal ECG monitoring algorithm
Published 2011“…The hardware data acquisition system acquires the mother’s AECG data by using a commercial ECG frontend microchip, called CARDIC and stores the data in a local computer terminal. …”
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Ant system with heuristics for capacitated vehicle routing problem
Published 2013“…The computational results suggest that the AS approach embedded with heuristic(s) outperforms the pure AS algorithm. …”
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Modifying iEclat algorithm for infrequent patterns mining
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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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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Modifying iEclat algo ithm for infrequent patterns mining
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Conference or Workshop Item
