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Solving 0–1 Knapsack Problems by Binary Dragonfly Algorithm
2017The 0–1 knapsack problem (0–1KP) is a well-known combinatorial optimization problem. It is an NP-hard problem which plays significant roles in many real life applications. Dragonfly algorithm (DA) a novel swarm intelligence optimization algorithm, inspired by the nature of static and dynamic swarming behaviors of dragonflies.
Mohamed Abdel-Basset +3 more
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Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023
Yi Wu, En Bo, Yi Zhang
exaly +2 more sources
Yi Wu, En Bo, Yi Zhang
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Expert Systems, 2022
Abstract Background It has always been difficult and challenging to quantify the breast imaging reporting and data system (BI‐RADS) criteria into several categories. Automatic quantitation can assist clinicians in the early diagnosis and treatment eventually reducing the mortality rate.
Priyanka Khanna +3 more
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Abstract Background It has always been difficult and challenging to quantify the breast imaging reporting and data system (BI‐RADS) criteria into several categories. Automatic quantitation can assist clinicians in the early diagnosis and treatment eventually reducing the mortality rate.
Priyanka Khanna +3 more
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CBDA: Chaos-based binary dragonfly algorithm for evolutionary feature selection
Intelligent Data AnalysisThe goal of feature selection in machine learning is to simultaneously maintain more classification accuracy, while reducing lager amount of attributes. In this paper, we firstly design a fitness function that achieves both objectives jointly. Then we come up with a chaos-based binary dragonfly algorithm (CBDA) that incorporates several improvements ...
Zhao Liu +6 more
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2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), 2018
Diseased caused through the rapid mediation of Human Papillomavirus (HPV) have surged in the recent decades. While there are a large amount of treatment methods, medical data is often voluminous, high dimensional and often has redundancy which make selection of a particular method difficult.
Ramit Sawhney, Roopal Jain
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Diseased caused through the rapid mediation of Human Papillomavirus (HPV) have surged in the recent decades. While there are a large amount of treatment methods, medical data is often voluminous, high dimensional and often has redundancy which make selection of a particular method difficult.
Ramit Sawhney, Roopal Jain
openaire +1 more source
2020 International Conference on Renewable Energy Integration into Smart Grids: A Multidisciplinary Approach to Technology Modelling and Simulation (ICREISG), 2020
In recent years, Phasor measurement unit (PMU) is found to be one of the most promising technology in the field of monitoring and controlling of electrical grids. PMUs are to be used to achieve accurate measurements of current and voltage phasors at synchronized time stamp through global positioning system.
Sadasiva Behera +4 more
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In recent years, Phasor measurement unit (PMU) is found to be one of the most promising technology in the field of monitoring and controlling of electrical grids. PMUs are to be used to achieve accurate measurements of current and voltage phasors at synchronized time stamp through global positioning system.
Sadasiva Behera +4 more
openaire +1 more source
2020
The paper has addressed on design of robust fuzzy cascade controller for automatic generation control (AGC) of a multi-area power system under both step load and stochastic load perturbations. The AGC aims to maintain proper balance between net generation and active demand to pertain stability over system frequency and tie-line power effectively.
Prakash Chandra Sahu +3 more
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The paper has addressed on design of robust fuzzy cascade controller for automatic generation control (AGC) of a multi-area power system under both step load and stochastic load perturbations. The AGC aims to maintain proper balance between net generation and active demand to pertain stability over system frequency and tie-line power effectively.
Prakash Chandra Sahu +3 more
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Feature Selection for Binary Dataset using Dragonfly Algorithm
2023 16th International Conference on Developments in eSystems Engineering (DeSE), 2023Zaid Tariq Raouf, Dhafar Hamed Abd
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2019 International Conference on Applied Machine Learning (ICAML), 2019
Microarray gene data comprises of a large number of genes and fewer samples. Feature Selection (FS) is performed to select disease-causing genes and enhance the performance of the learning model. FS algorithms can either employ a learning model or use only data information to select the features. Each of these has its own drawbacks.
Akshata Naik +2 more
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Microarray gene data comprises of a large number of genes and fewer samples. Feature Selection (FS) is performed to select disease-causing genes and enhance the performance of the learning model. FS algorithms can either employ a learning model or use only data information to select the features. Each of these has its own drawbacks.
Akshata Naik +2 more
openaire +1 more source