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Ant Colony Optimization in Different Engineering Applications: An Overview
2012
International Journal of Computer Applications
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This survey provides an overview of past and on-going research of ACO in diverse engineering applications pertaining to computer science fields such as mobile and wireless networks, ...
Ant Colony Optimization (ACO) is a technique that was introduced in the early 1990's and it is inspired by the foraging behavior of ant colonies. ...
It can mine the data more overall and accurate than the original fuzzy-rough method, an entropy-based feature selector, and a transformation-based reduction method, PCA. ...
doi:10.5120/7720-1091
fatcat:lbdc6eu4sjfqhnqd26futog7c4
Back analysis based on SOM-RST system
[article]
2009
arXiv
pre-print
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In this manner, using a combining of Self Organizing Map (SOM) and rough set theory (RST), crisp and rough granules are obtained. ...
This paper describes application of information granulation theory, on the back analysis of Jeffrey mine southeast wall Quebec. ...
Application of direct approach, to evaluation of problem based non-linearity and employing of heuristic optimization methods such Ant Colony (ACO), Particle Swarm (PSO), and Simulated Annealing (SA) are ...
arXiv:0909.2339v1
fatcat:pajcll7wvraahdo2dubugdlcdq
A Survey on Evolutionary Computation Approaches to Feature Selection
2016
IEEE Transactions on Evolutionary Computation
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The popularity of rough set theory in ACO for feature selection is likely because the rough set based measures are easy to update when adding or removing features during the travel of ants. ...
INTRODUCTION In data mining and machine learning, real-world problems often involve a large number of features. ...
doi:10.1109/tevc.2015.2504420
fatcat:wj2zddgcwncgtf6kphvhyd5pq4
Survey on data science with population-based algorithms
2016
Big Data Analytics
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We reviewed two categories of literature, which include population-based algorithms solving data analysis problem and utilizing data analysis methods in population-based algorithms. ...
Based on the combination of population-based algorithms and data mining techniques, we understand better the insights of data analytics, and design more efficient algorithms to solve real-world big data ...
Association rules mining A PSO variant based on the notion of rough patterns, named rough PSO algorithm (RPSOA), has used rough values defined with upper Table 1 The applications of population-based ...
doi:10.1186/s41044-016-0003-3
fatcat:jvddmsjmivdejehqdwlkm2csca
Real time 3D terrain elevation mapping using ants Optimization Algorithm and stereo vision
2010
2010 IEEE Intelligent Vehicles Symposium
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In this paper we want to present an innovative technique to build a 3D elevation map of the traversable terrain from a world's 3D dense data set, in real time. ...
The algorithm has been successfully tested with 3D data provided by a stereo camera system mounted on a Cat R wheel loader operating in a mining environment. ...
Similar to other optimization algorithms, the ACO exploits the richness of the data set to avoid problems of local minima. Implementation details in Section IV. 2) 2D projections. ...
doi:10.1109/ivs.2010.5548025
dblp:conf/ivs/CappalungaCBMD10
fatcat:nugt5yt3lnflphafmkb4w2sjue
Artificial Intelligence Enabled Project Management: A Systematic Literature Review
2023
Applied Sciences
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In this context, this paper examines the role of artificial intelligence in emerging project management through a systematic literature review; the applications of AI techniques in the project management ...
The findings indicate that artificial intelligence, predominantly machine learning, can be considerably useful in the management of construction and IT projects; it is notably encouraging for enhancing ...
An analysis of AI tools (text-process-data-image mining) for conformance checking was introduced in [88] and claimed that image processing still has performance gaps. ...
doi:10.3390/app13085014
fatcat:qnyrtzsqtjfhdgw6yk3xi4nyda
Estimating Soil Organic Matter Content in Desert Areas Using In Situ Hyperspectral Data and Feature Variable Selection Algorithms in Southern Xinjiang, China
2022
Remote Sensing
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In this study, visible and near-infrared (Vis-NIR) in situ spectral data were collected from 135 topsoil (0–20 cm) samples in a desert area of northwestern China, and organic matter content was measured ...
However, in situ spectroscopy causes losses in accuracy due to interference from external environmental factors (e.g., the surface roughness of soil, changes in weather conditions, atmospheric water vapor ...
Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable.
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/rs14205221
fatcat:ahlbmqhbjbdljheyeh23mpjyjm
An Ant Colony Optimization Based Feature Selection for Web Page Classification
2014
The Scientific World Journal
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We used the WebKB and Conference datasets in our experiments, and we showed that using the ACO for feature selection improves both accuracy and runtime performance of classification. ...
We also showed that the proposed ACO based algorithm can select better features with respect to the well-known information gain and chi square feature selection methods. ...
Weka [40] data mining software implemented in Java. ...
doi:10.1155/2014/649260
pmid:25136678
pmcid:PMC4127204
fatcat:7c7dluru4fbn5acaw5o6qtvpyu
A survey of AI in operations management from 2005 to 2009
2011
Journal of Manufacturing Technology Management
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Research on utilising neural networks, case based reasoning, fuzzy logic, knowledge based systems, data mining, and hybrid AI in the four application areas are identified. ...
Findings: The survey categorises over 1400 papers, identifying the uses of AI in the four categories of operations management and concludes with an analysis of the trends, gaps and directions for future ...
Examples of using FL in process planning include applications in cost-volume-profit analysis under uncertainty (Yuan 2009 ) and in change management in construction which involves integrating FL based ...
doi:10.1108/17410381111149602
fatcat:htpu2mf4q5gu5aamziz46pzf7m
Table of Contents
2010
2010 International Conference on E-Business and E-Government
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............................................2700 Dongping Tang and Junshan Chen Fuzzy Comprehensive Evaluation of Work Safety Capacity for Construction Enterprises Based on Rough Set .................. ...
.....................................................................1456 Feng Hu and Yu-feng Zhang The Application of Data Mining in Predicting Power Industry Financial Risks ......................... ...
doi:10.1109/icee.2010.4
fatcat:x5dpwgty4jerhgaf5jq4l7xilu
Review on the Application of Machine Learning Algorithms in the Sequence Data Mining of DNA
2020
Frontiers in Bioengineering and Biotechnology
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It has been widely used in DNA sequence data analysis and obtained a lot of research achievements. ...
We analyze their corresponding biological application background and significance, and systematically summarized the development and potential problems in the field of DNA sequence data mining in recent ...
In the mining of biological sequences, widely used algorithms include fuzzy sets, neural networks, genetic algorithms, and rough sets. ...
doi:10.3389/fbioe.2020.01032
pmid:33015010
pmcid:PMC7498545
fatcat:74n23fw6ibeeznotkcmwsyrqpm
An Improved Particle Swarm Optimization based classification model for high dimensional medical disease prediction
2018
International Journal of Engineering & Technology
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The main objective of the feature selection based hybrid classifier is to classify the high dimensional data for large medical feature set. ...
In this work, we have used different ensemble learning models such ACO+NN, PSO+ELM, PSO+WELM to analyze the performance of proposed model(IPSO+WELM). ...
Rough set theory and decision tree approaches are integrated with the mathematical and statistical techniques to resolve these issues. ...
doi:10.14419/ijet.v7i2.7.10880
fatcat:edvudekixzcflc2t2jlf4gywby
Towards zero-defect manufacturing (ZDM)—a data mining approach
2013
Advances in Manufacturing
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Data mining (DM) is an effective methodology for discovering interesting knowledge within a huge datasets. It plays an important role in developing a ZDM system. ...
One of the major challenges for ZDM is the analysis of massive raw datasets. This type of analysis needs an automated and self-organized decision making system. ...
Data mining is applied to accomplish the inspection on the basis of vision based data in many areas such as medical [50] and quality inspection [51] . ...
doi:10.1007/s40436-013-0010-9
fatcat:te4ab5q5yjgbffixit4noghfs4
Feature Selection And Its Use In Big Data: Challenges, Methods, and Trends
2019
IEEE Access
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Herein, we approach the review from two aspects: methods specific to a particular kind of big data with certain characteristics and applications of methods in classification analysis, which are significantly ...
This paper also highlights the current issues of feature selection in big data and suggests the future research directions. INDEX TERMS Feature selection, big data, data mining, applications. ...
The challenge of this kind of method is the use of the mutual information based on rough set theory for constructing data models. ...
doi:10.1109/access.2019.2894366
fatcat:c7t47lki45bb3fs2btvnydcbaq
Terrain mapping for off-road Autonomous Ground Vehicles using rational B-Spline surfaces and stereo vision
2013
2013 IEEE Intelligent Vehicles Symposium (IV)
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Autonomous Ground Vehicles designed for extreme environments (e.g mining, constructions, defense, exploration applications) require a reliable estimation of terrain traversability, in terms of both terrain ...
The algorithm runs in real time; it has been tested on one of VisLab's AGVs using a modified SGM-based stereo system as 3D data source. ...
This allows further analysis of visual data such as color and texture to reinforce estimates. 2) as seen in Section VI, by selecting appropriate spline parameters it is possible to empirically set the ...
doi:10.1109/ivs.2013.6629540
dblp:conf/ivs/BroggiCCS13
fatcat:bjngupwgsfb4jiz5pydwlkxgju
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