Adel Sabry Eesa and Adnan Mohsin Abdulazeez Brifcani and Zeynep Orman
A New Tool for Global Optimization Problems Cuttlefish Algorithm
1235 - 1239
2014
8
9
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/9999515
https://publications.waset.org/vol/93
World Academy of Science, Engineering and Technology
This paper presents a new metaheuristic bioinspired
optimization algorithm which is called Cuttlefish Algorithm (CFA).
The algorithm mimics the mechanism of color changing behavior of
the cuttlefish to solve numerical global optimization problems. The
colors and patterns of the cuttlefish are produced by reflected light
from three different layers of cells. The proposed algorithm considers
mainly two processes reflection and visibility. Reflection process
simulates light reflection mechanism used by these layers, while
visibility process simulates visibility of matching patterns of the
cuttlefish. To show the effectiveness of the algorithm, it is tested with
some other popular bioinspired optimization algorithms such as
Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and
Bees Algorithm (BA) that have been previously proposed in the
literature. Simulations and obtained results indicate that the proposed
CFA is superior when compared with these algorithms.
Open Science Index 93, 2014