Biogeography-based optimization: a 10-year review

H Ma, D Simon, P Siarry, Z Yang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Biogeography-based optimization (BBO) is an evolutionary algorithm which is inspired by
the migration of species between habitats. Almost 10 years have passed since the first BBO …

A survey of biogeography-based optimization

W Guo, M Chen, L Wang, Y Mao, Q Wu - Neural Computing and …, 2017 - Springer
Optimization is a classical issue and in many areas that are bound up with people's daily life.
In current decades, with the development of human civilization and industry society, many …

Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning

G Xiong, D Shi, X Duan - Computers & Operations Research, 2014 - Elsevier
Biogeography-based optimization (BBO) is a powerful population-based algorithm inspired
by biogeography and has been extensively applied to many science and engineering …

Least mean mixed norm square/fourth adaptive algorithm with optimized FOPID gains for voltage power quality mitigation

SR Arya, KD Mistry, P Kumar - IEEE Journal of Emerging and …, 2023 - ieeexplore.ieee.org
The conventional adaptive least mean square (LMS) algorithm employs mean square error
(mse) as a cost function based on second-order power error. This limits the extraction of …

Robotics and prosthetics at Cleveland State University: modern information, communication, and modeling technologies

Y Kondratenko, G Khademi, V Azimi, D Ebeigbe… - … in Education, Research …, 2017 - Springer
This chapter concentrates on the correlation between research-based education,
government priorities and research funding. Special attention is paid to an analysis of the …

Advanced fireworks algorithm and its application research in PID parameters tuning

J Xue, Y Wang, H Li, X Meng… - Mathematical Problems in …, 2016 - Wiley Online Library
Proportional‐Integral‐Derivative (PID) controller is one of the most widely used controllers
for its property of simplicity and practicability. In order to design high‐quality performances …

System identification and control optimization of an active prosthetic knee in swing phase

M Abdelhady, A Rashvand, M Moness… - 2017 American …, 2017 - ieeexplore.ieee.org
A DC motor is mounted to a Mauch SNS prosthetic knee to obtain an active prosthetic knee.
Evolutionary optimization and derivative-based optimization are used to identify system …

Designing PID controllers for a five-bar linkage robot manipulator using BBO algorithm

MR Kankashvar, H Kharrati, RM Asl… - 2015 6th international …, 2015 - ieeexplore.ieee.org
This paper introduces a new modified Biogeography-Based Optimization (BBO) algorithm
for improving the result of basic algorithm. The modified BBO is employed to tune the PID …

Improving the performance of the Egyptian second testing nuclear research reactor using interval type-2 fuzzy logic controller tuned by modified biogeography-based …

MM Sayed, MS Saad, HM Emara… - Nuclear Engineering and …, 2013 - Elsevier
Power stabilization is a critical issue in nuclear reactors. The conventional proportional
derivative (PD) controller is currently used in the Egyptian second testing research reactor …

Hybrid biogeography based optimization for constrained numerical and engineering optimization

Z Mi, Y Xu, Y Yu, T Zhao, B Zhao… - … Problems in Engineering, 2015 - Wiley Online Library
Biogeography based optimization (BBO) is a new competitive population‐based algorithm
inspired by biogeography. It simulates the migration of species in nature to share …