Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
The whale optimization algorithm (WOA) is a prominent problem solver which is broadly applied to solve NP-hard problems such as feature selection. However, it and most of its …
This paper presents a novel bio-inspired algorithm inspired by starlings' behaviors during their stunning murmuration named starling murmuration optimizer (SMO) to solve complex …
DE algorithms have outstanding performance in solving complex problems. However, they also have highlighted the need for an effective approach to alleviating the risk of premature …
In this article, an improved variant of the grey wolf optimizer (GWO) named gaze cues learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce …
TS Naseri, FS Gharehchopogh - Journal of Network and Systems …, 2022 - Springer
The development and expansion of the Internet and cyberspace have increased computer systems attacks; therefore, Intrusion Detection Systems (IDSs) are needed more than ever …
This paper proposes a binary version of Horse herd Optimization Algorithm (HOA) to tackle Feature Selection (FS) problems. This algorithm mimics the conduct of a pack of horses …
The main objective of feature selection is to improve learning performance by selecting concise and informative feature subsets, which presents a challenging task for machine …
FS Gharehchopogh - Journal of Bionic Engineering, 2022 - Springer
Abstract The Tunicate Swarm Algorithm (TSA) inspires by simulating the lives of Tunicates at sea and how food is obtained. This algorithm is easily entrapped to local optimization …