Search Results - (( evolution application optimisation algorithm ) OR ( java applications usage algorithm ))
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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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Article -
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An Effective Fast Searching Algorithm for Internet Crawling Usage
Published 2016“…The search algorithm is a crucial part in any internet applications. …”
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Conference or Workshop Item -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…The experimental result shows that using Java 2, this method improves the speed of PrefixSpan up to almost two orders of magnitude as well as the memory usage to more than one order of magnitude.…”
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Conference or Workshop Item -
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Stock market turning points rule-based prediction / Lersak Photong … [et al.]
Published 2021“…The study suggests that the application of rule-based optimisation to predict stock market turning points generate more accurate and time saving decision.…”
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Book Section -
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B-spline curve fitting with different parameterization methods
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Final Year Project / Dissertation / 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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Modelling and simulation of drying process for ceramic membrane fabrication
Published 2015“…Subsequently, case studies involving single layer and multilayer have produced reasonable accuracy at all times. The application of the model at various case studies involves a convective and enhanced intermittent drying mode which demonstrates the robustness and trustworthiness in predicting and optimising the drying process.…”
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Thesis -
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Development of tool life prediction model of TiAlN coated tools during the high speed hard milling of AISI H13 steel
Published 2011“…Shunmugam et al. [7] also combined RSM with differential evolution and genetic algorithms to draw a comparison between these methods. …”
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Book Chapter
