Composite analysis of web pages in adaptive environment through Modified Salp Swarm algorithm to rank the web pages

The web ranking is an essential information to measure the quality of service of a web page. The dynamic changes in the web information need an efficient framework to rank the web pages to ensure its quality and reliability. A heterogeneous evaluation based ranking system which is effective in the adaptive environment is introduced to overcome the lack in evaluating the quality of web service. The web content, usage traffic and the links to the web page are all taken as the attribute in evaluating the web page in assigning the rank. A framework is introduced to ensure that the evaluation of the web page is through optimized method. The Modified Salp Swam Optimization collects the ranking of all homogeneous ranking and produces a more optimized ranking for every web page. The modified Salp Swarm algorithm accuracy and the performance measure also show that this is more effective than other ranking methods.