Novel Meta-Heuristic Algorithm for Feature Selection, Unconstrained Functions and Engineering Problems

Novel Meta-Heuristic Algorithm for Feature Selection, Unconstrained Functions and Engineering Problems

This paper proposes a Sine Cosine hybrid optimization algorithm with Modified Whale Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA to solve problems with continuous and binary decision variables. The SCMWOA algorithm is first tested on nineteen datasets from th...

Full description

Bibliographic Details
Main Authors: El-Sayed M. El-Kenawy, Seyedali Mirjalili, Fawaz Alassery, Yu-Dong Zhang, Marwa Metwally Eid, Shady Y. El-Mashad, Bandar Abdullah Aloyaydi, Abdelhameed Ibrahim, Abdelaziz A. Abdelhamid
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
machine learning
optimization
sine cosine algorithm
modified whale optimization algorithm
Online Access:https://ieeexplore.ieee.org/document/9755988/

Internet

https://ieeexplore.ieee.org/document/9755988/

Similar Items