A Multi-view Comparison of Various Metaheuristic and Soft Computing Algorithms
Author(s) -
Abdulrahman Ahmed Bobakr Baqais
Publication year - 2017
Publication title -
international journal of mathematical sciences and computing
Language(s) - English
Resource type - Journals
eISSN - 2310-9033
pISSN - 2310-9025
DOI - 10.5815/ijmsc.2017.04.02
Subject(s) - computer science , algorithm , soft computing , metaheuristic , machine learning , artificial intelligence , artificial neural network
AI algorithms have been applied in a wide spectrum of articles across different domains with great success in finding solutions. There is an increasing trend of applying these techniques on newer problems. However, the numerous numbers of algorithms that are classified as AI algorithm hinder the ability of any researcher to select which algorithm is suitable for his problem. The invention of new algorithms increases the difficulty for researchers to be updated about AI algorithms. This paper is intended to provide a multi-facet comparison between various AI algorithms in order to aid researchers in understanding the differences between some of the popular algorithms and select the suitable candidate for their problems.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom