Open AccessA Comparative Study of Searching and Optimization Techniques in Artificial Intelligence
Author(s) -
Antim Panghal
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2062167
Subject(s) - process (computing) , space (punctuation) , computer science , categorization , artificial intelligence , basis (linear algebra) , optimization problem , mathematical optimization , mathematics , algorithm , geometry , operating system
Solving a problem mean looking for a solution, which is best among others. Finding a solution to a problem in Computer Science and Artificial Intelligence is often thought as a process of search through the space of possible solutions. On the other hand in Engineering and Mathematics it is thought as a process of optimization i.e. to find a best solution or an optimal solution for a problem. These reduce search space and improve its efficiency. At each and every step of search,it select which have the least futility. In this paper ,We categorize the different AI search and optimization techniques in a tabular form on the basis of their merits and demerits to make it easy to choose a technique for a particular problem.