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A Hybrid Gini PSO-SVM Feature Selection: An Empirical Study of Population Sizes on Different Classifier

Noormadinah Allias, Megat Norulazmi Megat Mohamed Noor, Mohd. Nazri Ismail, Kim de Silva
2013 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation  
The results showed that the Decision Tree with the smallest size of population is able to give the best result compared to NB, SVM, RF, stacking and voting.  ...  Deriving from previous experiments, we extended our work by investigating the effect of population sizes from our proposed method of feature selection on different learning classifier algorithms using  ...  ACKNOWLEDGMENT The authors are grateful to the reviewers who have given their thoughtful comments to improve the quality of this paper.  ... 
doi:10.1109/aims.2013.24 fatcat:z3d55w5ch5e4lbseflplwi5ny4

Online Social Network Bullying Detection Using Intelligence Techniques

B. Sri Nandhini, J.I. Sheeba
2015 Procedia Computer Science  
In the proposed method Genetic algorithm is also used, for optimizing the parameters and to obtain precise output.  ...  Detection of cyberbullying and the provision of subsequent preventive measures are the main courses of action to combat cyberbullying.  ...  Consider the current population as the initial population. Evaluate the current population with the fuzzy rule set given as knowledge base.  ... 
doi:10.1016/j.procs.2015.03.085 fatcat:y7hr6zzp2jfrxmb2v2ei4f5kpu

Two coding based adaptive parallel co-genetic algorithm with double agents structure

Yongming Li, Xiaoping Zeng, Liang Han, Pin Wang
2010 Engineering applications of artificial intelligence  
In order to show the performance of the adaptability of size of sub-populations, MPATCGA with sub-populations with same size and MPATCGA with sub-populations with different size are compared.  ...  This paper systematically proposed a multi-population agent co-genetic algorithm with double chainlike agent structure (MPATCGA) to solve the problem of the low optimization precision and long optimization  ...  Acknowledgement The authors want to thank the reviews' and the editor' comments and the support of Chongqing Natural Science Foundation (NO: CSTC, 2008BB2164, CSTC, 2008BB2322) and Innovation Ability Training  ... 
doi:10.1016/j.engappai.2009.04.004 fatcat:bwvuxpzhdvbv5ein4kyehs5u2y

A hybrid sentiment analysis approach using black widow optimization based feature selection

Anand Joseph Daniel, Research Scholar in Department of Computer Science and Engineering, Vellore Institute of Technology, Chennai Campus, India., M Janaki Meena, Professor in the School of Computing Science and Engineering at VIT Chennai.
2021 Maǧallaẗ al-abḥāṯ al-handasiyyaẗ  
The proposed feature selection technique outperforms other commonly used Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) based feature selection techniques with reduced computation time of  ...  This paper proposes a novel hybrid framework with Black Widow Optimization (BWO) based feature reduction technique which combines the merits of both machine learning and lexicon-based approaches to attain  ...  CONCLUSION In this paper, a novel hybrid model with feature selection using BWO algorithm was designed, developed and evaluated.  ... 
doi:10.36909/jer.12039 fatcat:vparjrmnerft7hfvyaynk4xmuy

Performance Evaluation of Genetic Algorithm Selection Methods in Outlier Detection: Further Analysis

Ayodeji Oyeyinka EFUNBOADE, OYENIRAN Olubunmi Rotimi, ODENIYI Olufemi Ayodeji
2022 Zenodo  
Performance of the selection methods were evaluated based on metr ics of accuracy, specificity, precision and computation time.  ...  Feature selection is very crucial in the activities of soft computing algorithms for quality, precision and accuracy.  ...  of the fingerprint images used in this study and during the testing of the system.  ... 
doi:10.5281/zenodo.6606703 fatcat:lrdmqx2ww5ayhkmvp4m7fmu66u

Relevance Feedback using Genetic Algorithm on Information Retrieval for Indonesian Language Documents

Salman Dziyaul Azmi, Retno Kusumaningrum
2019 Journal of Information Systems Engineering and Business Intelligence  
genetic algorithm parameters were a population size of 10 with 0.5 crossover probability and 0.2 mutation probability.Conclusion: Genetic Algorithm-based relevance feedback increases both values of MAP  ...  Generally, the best genetic algorithm parameters are as follows, mutation probability is 0.2, whereas the size of population size and crossover probability depends on the size of dataset and length of  ...  algorithm parameters obtained were with a population size parameter of 10, a 0.5 crossover probability and a 0.2 mutation probability.  ... 
doi:10.20473/jisebi.5.2.171-182 fatcat:nwfr5yveefg6fh2qwtqkccg2de

Precise-Optimal Frame Length Based Collision Reduction Schemes for Frame Slotted Aloha RFID Systems

2014 KSII Transactions on Internet and Information Systems  
The ID-FSA scheme is based on the tag set estimation and frame size update mechanisms, whereas the ERP-FSA scheme adjusts the contending tag population in such a way that the applied frame size becomes  ...  population size of the RFID tags.  ...  Conclusion In this paper, we precisely characterized the time duration of slot events and evaluated the optimal frame size.  ... 
doi:10.3837/tiis.2014.01.010 fatcat:yjyz2ztpszfb5j6hztt7khbfa4

Evolving Disjunctive and Conjunctive Topical Queries based on Multi-objective Optimization Criteria

Rocío L. Cecchini, Carlos M. Lorenzetti, Ana G. Maguitman
2010 Inteligencia Artificial  
Abstract In this work we propose techniques based on single-and multi-objective evolutionary algorithms to automatically evolve a population of topical queries.  ...  Our analysis reveals the limitations of the single-objective approach and highlights the advantages of applying multi-objective evolutionary algorithms for the problem at hand.  ...  Acknowledgement This research work is supported by CIC (TICs-Sinergia 2008), Agencia Nacional de Promoción Científica y Tecnológica (PICT 2005 Nro. 32373), Universidad Nacional del Sur (PGI 24/ZN13) and  ... 
doi:10.4114/ia.v13i44.1042 fatcat:m7wadlmg5veqrgqmcugd7kzf2y

An experimental comparison of a genetic algorithm and a hill‐climber for term selection

A. MacFarlane, A. Secker, P. May, J. Timmis
2010 Journal of Documentation  
We also vary elements of the GA, such as probability of a word being included, probability of mutation and population size in order to measure the effect of these variables.  ...  Small population sizes do not appear to be as effective as larger population sizes.  ...  The authors are grateful to Alex Freitas for his input, and to Steve Robertson for suggesting the term re-weighting scheme that is used in this paper.  ... 
doi:10.1108/00220411011052939 fatcat:sk2esiougbesjpkt52mciyes6q

A Precise Evolutionary Approach to Solve Multivariable Functional Optimization

Md. Robiul Islam, M.A.H. Akhand, K. Murase
2011 GSTF International Journal on Computing  
The modification of sGA is investigated in selection and recombination stages and proposed Precise Genetic Algorithm (PGA).  ...  Genetic Algorithm (GA) is a stochastic search and optimization method imitating the metaphor of natural biological evolution.  ...  For the selection process (selection of a new population with respects to the probability distribution based on fitness values), a roulette wheel with slots sized according to fitness is used:Calculate  ... 
doi:10.5176/2010-2283_1.2.33 fatcat:cbuw6kfo2rcdrgjlr45cfjih5a

NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization

Weishan Dong, Xin Yao
2008 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)  
Through adopting a niching method and recombination operators in a population of EDAs, NichingEDA significantly boosts the traditional single model based EDAs' performance by making use of the diversity  ...  inside the EDA population on hard problems without estimating a precise distribution.  ...  This work is supported by a grant from the Chinese Academy of Sciences for Outstanding Young Scholars from Overseas (No. 2F03B01) and an EPSRC grant (EP/C520696/1).  ... 
doi:10.1109/cec.2008.4630958 dblp:conf/cec/DongY08 fatcat:cosvcnxiwralbhiaajr6nhrhga

Multiprocessor Scheduling Using Parallel Genetic Algorithm [article]

Nourah Al-Angari, Abdullatif ALAbdullatif
2012 arXiv   pre-print
The proposed synchronous master-slave algorithm outperforms the sequential algorithm in case of complex and high number of generations problem.  ...  Genetic algorithm (GA) has been successfully applied to solve the scheduling problem. The fitness evaluation is the most time consuming GA operation for the CPU time, which affect the GA performance.  ...  Conclusions According to the obtained results, the proposed parallel algorithm outperforms the sequential algorithm in case of complex and high number of generation problems.  ... 
arXiv:1209.5319v1 fatcat:fhxkmnk7ynepzbeozhyhlx3a2u

A Heuristic Feature Selection Approach for Text Categorization by Using Chaos Optimization and Genetic Algorithm

Hao Chen, Wen Jiang, Canbing Li, Rui Li
2013 Mathematical Problems in Engineering  
Experimental results show that the proposed algorithm simplifies the feature selection process effectively and can obtain higher classification accuracy with a smaller feature set.  ...  The proposed algorithm selects the optimal subsets in both empirical and theoretical work in machine learning and presents a general framework for text categorization.  ...  Acknowledgment This work is partially supported by the National Science Foundation of China under Grant nos. 61370226 and 61272546.  ... 
doi:10.1155/2013/524017 fatcat:btfzr56blvcurezhrsxnabx2im

LightGBM: accelerated genomically designed crop breeding through ensemble learning

Jun Yan, Yuetong Xu, Qian Cheng, Shuqin Jiang, Qian Wang, Yingjie Xiao, Chuang Ma, Jianbing Yan, Xiangfeng Wang
2021 Genome Biology  
We demonstrate its utility in genomic selection-assisted breeding with a large dataset of inbred and hybrid maize lines.  ...  LightGBM exhibits superior performance in terms of prediction precision, model stability, and computing efficiency through a series of benchmark tests.  ...  Peer review information Wenjing She was the primary editor of this article and managed its editorial process and peer review in collaboration with the rest of the editorial team.  ... 
doi:10.1186/s13059-021-02492-y pmid:34544450 pmcid:PMC8451137 fatcat:tasg3qzufzbydpyc6e5pycwxkq

Improved Image Halftoning Technique Using GAs with Concurrent Inter-block Evaluation [chapter]

Emi Myodo, Hernán Aguirre, Kiyoshi Tanaka
2003 Lecture Notes in Computer Science  
The effectiveness of the method when the population and image block size are reduced, and the configuration of selection and genetic operators are investigated in detail.  ...  In this paper we propose a modified evaluation method to improve the performance of an image halftoning technique using GAs.  ...  Genetic Operators and Selection The improved GA-SRM for the halftoning problem [7] is based on a model of GA that puts genetic operators with complementary roles in a cooperativecompetitive stand with  ... 
doi:10.1007/3-540-45110-2_120 fatcat:enx55gpvdjgo7heqqnned7ixdi
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