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

Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ECICONFE01_104

تاریخ نمایه سازی: 8 آذر 1396

Abstract:

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.

Authors

Mahnaz Abbasi

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