International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




Downloads: 112 | Views: 185

Research Paper | Computer Science & Engineering | Turkey | Volume 6 Issue 11, November 2017 | Rating: 6.7 / 10


Outlander Algorithm Based on Integrated Aggressive Selection Method

Mashar Cenk Gencal | Mustafa Oral


Abstract: Numerous algorithms are utilized in optimization problems. One of the most commonly used methods to find optimum points of a given function is Genetic Algorithms, which stochastically select individuals from the population. The aim of genetic algorithms is to gradually approximate to the optimum points by choosing the better individuals in each iteration. Thus, having a good selection method is significantly important issue in genetic algorithms. In this paper, a new selection method, which is an improved version of Integrated Aggressive Selection Method, is introduced. The performance of the new method is compared with four methods that were previously proposed by us, Aggressive, Integrated Aggressive, Non-Aggressive and Integrated Non-Aggressive selection methods, and with the most commonly used standard selection methods, Roulette Wheel, Linear Ranking and Tournament by utilizing variety of benchmark functions. It is observed that newly proposed Outlander algorithm delivers the overall best performance results comparing to the other selection methods for both unimodal and multimodal optimization problems.


Keywords: Genetic algorithms, Outlander, Selection methods, Integrated Aggressive, Aggressive, Non-Aggressive, Integrated Non-Aggressive, Tournament


Edition: Volume 6 Issue 11, November 2017,


Pages: 1673 - 1679



How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top