H.3.15.3. Evolutionary computing and genetic algorithms
1. Tuning Shape Parameter of Radial Basis Functions in Zooming Images using Genetic Algorithm

A.M Esmilizaini; A.M Latif; Gh. Barid Loghmani

Volume 6, Issue 2 , Summer 2018, , Pages 251-262

http://dx.doi.org/10.22044/jadm.2017.4815.1575

Abstract
  Image zooming is one of the current issues of image processing where maintaining the quality and structure of the zoomed image is important. To zoom an image, it is necessary that the extra pixels be placed in the data of the image. Adding the data to the image must be consistent with the texture in ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
2. 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

H.3.15.3. Evolutionary computing and genetic algorithms
3. Winner Determination in Combinatorial Auctions using Hybrid Ant Colony Optimization and Multi-Neighborhood Local Search

M. B. Dowlatshahi; V. Derhami

Volume 5, Issue 2 , Summer 2017, , Pages 169-181

http://dx.doi.org/10.22044/jadm.2017.880

Abstract
  A combinatorial auction is an auction where the bidders have the choice to bid on bundles of items. The WDP in combinatorial auctions is the problem of finding winning bids that maximize the auctioneer’s revenue under the constraint that each item can be allocated to at most one bidder. The WDP ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
4. A Hybrid MOEA/D-TS for Solving Multi-Objective Problems

Sh. Lotfi; F. Karimi

Volume 5, Issue 2 , Summer 2017, , Pages 183-195

http://dx.doi.org/10.22044/jadm.2017.886

Abstract
  In many real-world applications, various optimization problems with conflicting objectives are very common. In this paper we employ Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D), a newly developed method, beside Tabu Search (TS) accompaniment to achieve a new manner for solving ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
5. A novel hybrid method for vocal fold pathology diagnosis based on russian language

V. Majidnezhad

Volume 2, Issue 2 , Summer 2014, , Pages 141-147

http://dx.doi.org/10.22044/jadm.2014.332

Abstract
  In this paper, first, an initial feature vector for vocal fold pathology diagnosis is proposed. Then, for optimizing the initial feature vector, a genetic algorithm is proposed. Some experiments are carried out for evaluating and comparing the classification accuracies which are obtained by the use of ...  Read More