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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Optimization of attribute selection model using bio-inspired algorithms
Published 2019“…The aim of this paper is to investigate the use of bio-inspired search algorithms in producing optimal attribute set. This is achieved in two stages; 1) create attribute selection models by combining search method and feature selection algorithms, and 2) determine an optimized attribute set by employing bio-inspired algorithms.Classification performance of the produced attribute set is analyzed based on accuracy and number of selected attributes. …”
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An Improved Hybrid of Particle Swarm Optimization and the Gravitational Search Algorithm to Produce a Kinetic Parameter Estimation of Aspartate Biochemical Pathways
Published 2017“…Hence, the proposed algorithm is able to achieve a near-optimal set of parameters at a fast convergence speed. …”
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An enhanced soft set data reduction using decision partition order technique
Published 2017“…Also, the accuracy of original soft-set optimal and sub-optimal results have been improved using an intelligent SSR-BPSO-BBO algorithm. …”
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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…In order to solve it, Bat Algorithm method is implement in to optimization method in fuzzy modeling for classification. …”
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Undergraduates Project Papers -
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Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm
Published 2021“…This article presents a new modified cuckoo search algorithm with dynamic discovery probability and step-size factor for optimizing the Bouc–Wen Model in magnetorheological damper application. …”
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Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh
Published 2018“…In this work, Single Objective Optimization Algorithm (SOOA) is proposed. The SOOA version is extended to Multi Objective Optimization Algorithm (MOOA). …”
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Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani
Published 2021“…In model validation, to quantify accuracy by approving the informational collection, Ant Colony Optimization Algorithm was used and it was compared with the J48 algorithm. …”
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Student Project -
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A hybrid of Cuckoo Search and minimization of metabolic adjustment to optimize metabolites production in genome-scale models
Published 2018“…The hybrid algorithm searches for the near-optimal set of gene knockouts that leads to the overproduction of metabolites. …”
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Indexed Article -
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Hybrid ant colony optimization algorithm for container loading problem
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Optimization of micro-end milling process parameters of titanium alloy using non-dominated sorting genetic algorithm
Published 2013“…The optimization results demonstrate the high performance of this method to obtain the Pareto optimal set of solutions in the micro-end milling process. …”
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Ideal combination feature selection model for classification problem based on bio-inspired approach
Published 2020“…The aim of this paper is to exploit the capability of bio-inspired search algorithms, together with wrapper and filtered methods in generating optimal set of features. …”
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Book Section -
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Development of genetic algorithm-based fuzzy rules design for metal cutting data selection
Published 2002“…Fuzzy rules optimization is always a problem for a complex fuzzy model. …”
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Hyper-Heuristic Evolutionary Approach for Constructing Decision Tree Classifiers
Published 2021“…A particular setting that gives an optimal decision tree for one dataset may produce a sub-optimal decision tree model for another dataset. …”
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Ant colony optimization for rule induction with simulated annealing for terms selection
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Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design
Published 2024“…A response surface optimization model is constructed to determine the best design solution. …”
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A hybrid of Cuckoo Search and Minimization of Metabolic Adjustment to optimize metabolites production in genome-scale models
Published 2018“…The hybrid algorithm searches for the near-optimal set of gene knockouts that leads to the overproduction of metabolites. …”
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