A review on representative swarm intelligence algorithms for solving optimization problems: Applications and trends

J Tang, G Liu, Q Pan - IEEE/CAA Journal of Automatica Sinica, 2021 - ieeexplore.ieee.org
Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is
increasing popularity in resolving different optimization problems and has been widely …

A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems

E Kaya, B Gorkemli, B Akay, D Karaboga - Engineering Applications of …, 2022 - Elsevier
The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …

A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean

JS Chou, DN Truong - Applied Mathematics and Computation, 2021 - Elsevier
This study develops a novel metaheuristic algorithm that is motivated by the behavior of
jellyfish in the ocean and is called artificial Jellyfish Search (JS) optimizer. The simulation of …

An improved artificial bee colony algorithm with Q-learning for solving permutation flow-shop scheduling problems

H Li, K Gao, PY Duan, JQ Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to
its significance in real-life applications. This work proposes an improved artificial bee colony …

[Retracted] Taxonomy of Adaptive Neuro‐Fuzzy Inference System in Modern Engineering Sciences

S Chopra, G Dhiman, A Sharma… - Computational …, 2021 - Wiley Online Library
Adaptive Neuro‐Fuzzy Inference System (ANFIS) blends advantages of both Artificial Neural
Networks (ANNs) and Fuzzy Logic (FL) in a single framework. It provides accelerated …

Smart machining process using machine learning: A review and perspective on machining industry

DH Kim, TJY Kim, X Wang, M Kim, YJ Quan… - International Journal of …, 2018 - Springer
Abstract The Fourth Industrial Revolution incorporates the digital revolution into the physical
world, creating a new direction in a number of fields, including artificial intelligence, quantum …

FBI inspired meta-optimization

JS Chou, NM Nguyen - Applied Soft Computing, 2020 - Elsevier
This study developed a novel optimization algorithm, called Forensic-Based Investigation
(FBI), inspired by the suspect investigation–location–pursuit process that is used by police …

Optical microscope algorithm: A new metaheuristic inspired by microscope magnification for solving engineering optimization problems

MY Cheng, MN Sholeh - Knowledge-Based Systems, 2023 - Elsevier
A novel optimization algorithm called the optical microscope algorithm (OMA) is developed
and applied in this study. Drawing inspiration from the magnification capabilities of an …

Artificial bee colony algorithm with variable search strategy for continuous optimization

MS Kiran, H Hakli, M Gunduz, H Uguz - Information Sciences, 2015 - Elsevier
The artificial bee colony (ABC) algorithm is a swarm-based optimization technique proposed
for solving continuous optimization problems. The artificial agents of the ABC algorithm use …

A new brain tumor diagnostic model: Selection of textural feature extraction algorithms and convolution neural network features with optimization algorithms

E Başaran - Computers in Biology and Medicine, 2022 - Elsevier
Brain tumors are one of the most dangerous diseases that affect human health and maybe
result in death. Detection of brain tumors can be made by using biopsy. However, this is an …