Evaluation of Multidisciplinary Effects of Artificial Intelligence with
  Optimization Perspective
  Artificial Intelligence has an important place in the scientific community as
a result of its successful outputs in terms of different fields. In time, the
field of Artificial Intelligence has been divided into many sub-fields because
of increasing number of different solution approaches, methods, and techniques.
Machine Learning has the most remarkable role with its functions to learn from
samples from the environment. On the other hand, intelligent optimization done
by inspiring from nature and swarms had its own unique scientific literature,
with effective solutions provided for optimization problems from different
fields. Because intelligent optimization can be applied in different fields
effectively, this study aims to provide a general discussion on
multidisciplinary effects of Artificial Intelligence by considering its
optimization oriented solutions. The study briefly focuses on background of the
intelligent optimization briefly and then gives application examples of
intelligent optimization from a multidisciplinary perspective.
