H.4.7. Methodology and Techniques
1. Coordinate Exhaustive Search Hybridization Enhancing Evolutionary Optimization Algorithms

Osman K. Erol; I. Eksin; A. Akdemir; A. Aydınoglu

Volume 8, Issue 3 , Summer 2020, , Pages 439-449

http://dx.doi.org/10.22044/jadm.2019.7351.1875

Abstract
  In general, all of the hybridized evolutionary optimization algorithms use “first diversification and then intensification” routine approach. In other words, these hybridized methods all begin with a global search mode using a highly random initial search population and then switch to intense ...  Read More

I.3.7. Engineering
2. A Technique for Improving Web Mining using Enhanced Genetic Algorithm

F. Nosratian; H. Nematzadeh; H. Motameni

Volume 7, Issue 4 , Autumn 2019, , Pages 597-606

http://dx.doi.org/10.22044/jadm.2018.3746.1435

Abstract
  World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined and their accuracy is not high enough. One of the ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
3. MHSubLex: Using Metaheuristic Methods for Subjectivity Classification of Microblogs

H.R Keshavarz; M. Saniee Abadeh

Volume 6, Issue 2 , Summer 2018, , Pages 341-353

http://dx.doi.org/10.22044/jadm.2017.1024

Abstract
  In Web 2.0, people are free to share their experiences, views, and opinions. One of the problems that arises in web 2.0 is the sentiment analysis of texts produced by users in outlets such as Twitter. One of main the tasks of sentiment analysis is subjectivity classification. Our aim is to classify the ...  Read More