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A review of the genetic programming distributed evolutionary algorithms via JavaScript and XML

عنوان مقاله: A review of the genetic programming distributed evolutionary algorithms via JavaScript and XML
شناسه ملی مقاله: ECICONFE01_104
منتشر شده در اولین همایش بین المللی مهندسی برق،علوم کامپیوتر و فناوری اطلاعات در سال 1396
مشخصات نویسندگان مقاله:

Mahnaz Abbasi - Department of Electronical and Computer Engineering, Apadana Institute Higher Education ,Shiraz, Iran

خلاصه مقاله:
Is years passed when JavaScript Ultimarely , as a popular language , was developed for conducting in all application , in server-based and enriched internet programs. In fact , JavaScript is applied in browser and is directed in tools of Server by means of Open_source. In most of circumstances to slove the problems the execution time increase as population size increases. To this end , ton increase the probability for success in finding out the difficult problem solution , the users and disegner of genetic programming system tend to the access of distributed accounts to evaluate rapid fitness. In here , to prove the concept of genetic programming , distriputed accounts by aid of asynchronous javascript and xml , a system doesn’t need any explicit user interaction , software installation and operation in Client side. By referring to the web-based page and needless of local evaluation of fitness, the genetic programming problems are solved. This paper takes different architectures including client, Client-Server , peer to peer , scalability , performance and facilities into accounts.In an empirical study , distributed computation system , evolutionary algorithm , CouchDB object store via API allowing to conduct asynchronous distributed performance of clients in different programming are proposed.

کلمات کلیدی:
Genetic programming , distributed , javascript , xml , Client-Server , evolutionary algorithm

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/678739/