94 citations · 149 across the 5 of their papers we have counts for
5 papers
MAAPO:an innovative membrane algorithm based on artificial protozoa optimizer for multilevel threshold image segmentation
Xiaopeng Wang, Vaclav Snasel, Seyedali Mirjalili +1
This paper proposes a novel membrane algorithm based on artificial protozoa optimizer (MAAPO) for global optimization problems. The artificial protozoa optimizer (APO) is adopted a…
Evolving Deep Neural Network by Customized Moth Flame Optimization Algorithm for Underwater Targets Recognition
Mohammad Khishe, Mokhtar Mohammadi, Tarik A. Rashid +2
This chapter proposes using the Moth Flame Optimization (MFO) algorithm for finetuning a Deep Neural Network to recognize different underwater sonar datasets. Same as other models…
Multi objective Fitness Dependent Optimizer Algorithm
Jaza M. Abdullah, Tarik A. Rashid, Bestan B. Maaroof +1
This paper proposes the multi objective variant of the recently introduced fitness dependent optimizer (FDO). The algorithm is called a Multi objective Fitness Dependent Optimizer…
ANA: Ant Nesting Algorithm for Optimizing Real-World Problems
Deeam Najmadeen Hama Rashid, Tarik A. Rashid, Seyedali Mirjalili
In this paper, a novel swarm intelligent algorithm is proposed called ant nesting algorithm (ANA). The algorithm is inspired by Leptothorax ants and mimics the behavior of ants sea…
S-Shaped vs. V-Shaped Transfer Functions for Antlion Optimization Algorithm in Feature Selection Problems
Majdi Mafarja, Seyedali Mirjalili
Feature selection is an important preprocessing step for classification problems. It deals with selecting near optimal features in the original dataset. Feature selection is an NP-…