Physics‐inspired optimization algorithms: a survey

A Biswas, KK Mishra, S Tiwari… - Journal of Optimization, 2013 - Wiley Online Library
Natural phenomenon can be used to solve complex optimization problems with its excellent
facts, functions, and phenomenon. In this paper, a survey on physics‐based algorithm is …

Physics‐based search and optimization: Inspirations from nature

N Siddique, H Adeli - Expert Systems, 2016 - Wiley Online Library
This paper presents a review of recently developed physics‐based search and optimization
algorithms that have been inspired by natural phenomena. They include Big Bang–Big …

[LIBRO][B] Nature-inspired computing: physics and chemistry-based algorithms

NH Siddique, H Adeli - 2017 - taylorfrancis.com
Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a
comprehensive introduction to the methodologies and algorithms in nature-inspired …

Designing robust model reference hybrid fuzzy controller based on LYAPUNOV for a class of nonlinear systems

V Bahrami, M Mansouri… - Journal of Intelligent & …, 2016 - content.iospress.com
This study intends to investigate a new control structure using a robust model reference
hybrid fuzzy controller. The main aim of the present study is to improve the transient …

Big bang–big crunch algorithm

B **ng, WJ Gao, B **ng, WJ Gao - … Intelligence: A Rough Guide to 134 …, 2014 - Springer
In this chapter, the big bang–big crunch (BB–BC), a global optimization method inspired
from one of the cosmological theories known as closed universe, is introduced. We first, in …

Neural network sliding mode control for pneumatic servo system based on particle swarm optimization

G Liu, G Li, H Song, Z Peng - … Of The 11th International Conference On …, 2020 - Springer
Problems of pneumatic servo system, such as poor stability, non-linearity and uncertainty in
the process of modeling, seriously affect the development of high-performance pneumatic …