Search Results - (( _ constructing partial 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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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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Ball surface representations using partial differential equations
Published 2015“…Hence, this new algorithm is a viable alternative for constructing generalized Ball surfaces. …”
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Partial examination assignment approaches for solving examination timetabling problems
Published 2016“…The entire process runs until all of the examinations are assigned successfully. We have implemented partial graph heuristic with hill climbing (PGH-HC) and partial graph heuristic with modified great deluge algorithm (PGH-mGD) into solving the examination timetabling. …”
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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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Solving Examination Timetabling Problem using Partial Exam Assignment with Great Deluge Algorithm
Published 2015“…This paper presents a partial exam assignment approach with great deluge algorithm as the improvement mechanism in order to generate good quality timetable. …”
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Conference or Workshop Item -
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A modified partially mapped multiCrossover genetic algorithm for Two-Dimensional Bin Packing Problem
Published 2010“…Initial computational investigations were conducted independently on the named components using some benchmark problem instances. The new MXGA was constructed by combining the rank selection, modified Partially Mapped Crossover (PMXm), mutation with two mutation operators and elitism replacement scheme with filtration. …”
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Cuckoo Search Algorithm-Based Zeta Converter In A Photovoltaic System Under Partial Shading Condition
Published 2021“…The key issue with the conventional maximum power point tracking algorithms is the system efficiency in partial shaded conditions due to the presence of local maxima points on the power-voltage curve. …”
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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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Algorithmic implementation to achieve high speed mathematical addition on Silicon for 128 bits and larger
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Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach
Published 2016“…A Warp partial least square-structural equation modeling (PLS-SEM) software algorithm was used for the analysis of collected data. …”
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Genetic algorithm optimization of a wideband rectangular patch antenna with an asymmetric u-slot and partial ground for Ku-band satellite communication
Published 2025“…The proposed design incorporates an asymmetric U-shaped slot and a partial ground plane, constructed using an FR4 substrate with dimensions of 18 × 16 × 1.6 mm3 (0.416λ × 0.37λ × 0.03λ, where λ is the wavelength at 6.94 GHz). …”
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