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Towards Software Product Lines Optimization Using Evolutionary Algorithms
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The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement
Published 2025“…In the past few decades, there have been multiple algorithms proposed for the purpose of solving optimization problems including Machine Learning (ML) applications. …”
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Optimized processing of satellite signal via evolutionary search algorithm
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Implementation of evolutionary computing models for reference evapotranspiration modeling: Short review, assessment and possible future research directions
Published 2019“…Among several machine learning models, evolutionary computing (EC) has demonstrated a remarkable progression in the modeling of ETo. …”
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An improvement of back propagation algorithm using halley third order optimisation method for classification problems
Published 2020“…Back Propagation (BP) has proven to be a robust algorithm for different connectionist learning problems which commonly available for any functional induction that provides a computationally efficient method. …”
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Thesis -
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Adaptable algorithms for performance optimization of dynamic batch manufacturing processes
Published 2018“…With nowadays high end computation ability, revolutionary changes of implementing precision measurement is expectable and applicable to obtain expensive products. Central to precision manufacturing is artificial intelligence as this thesis presents the performance characteristics of tuning-based, rule-based, learning-based and evolutionary-based algorithms. …”
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Improving the accuracy of AIRS by incorporating real world tournament selection in resource competition phase
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Conference or Workshop Item -
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…In the developed feature selection approach, multi-objective binary-valued backtracking search algorithm (MOBBSA) is used as an efficient evolutionary search algorithm to search within different combinations of input variables and selects the non-dominated feature subsets, which minimize simultaneously both the estimation error and the number of features. …”
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SMSAD: a framework for spam message and spam account detection
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Hybrid Soft Computing Approach for Determining Water Quality Indicator: Euphrates River
Published 2017“…In this research, the implementation of hybrid evolutionary model based on integrated support vector regression (SVR) with firefly algorithm (FFA) was investigated for water quality indicator prediction. …”
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Unified framework for spam detection and risk assessment in short message communication media / Adewole Kayode Sakariyah
Published 2018“…The performance of ten (10) machine learning algorithms were evaluated to select the best classifier for both SADM and SMDM. …”
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