A review of the genetic programming distributed evolutionary algorithms via JavaScript and XML
سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 431
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شناسه ملی سند علمی:
ECICONFE01_104
تاریخ نمایه سازی: 8 آذر 1396
چکیده 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.
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نویسندگان
Mahnaz Abbasi
Department of Electronical and Computer Engineering, Apadana Institute Higher Education ,Shiraz, Iran