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 …

Web 1.0 to Web 3.0-Evolution of the Web and its various challenges

K Nath, S Dhar, S Basishtha - 2014 International Conference …, 2014 - ieeexplore.ieee.org
Now a day's people can hardly conceive of life without internet. The World Wide Web
(WWW) as the largest global information media through which user can share, read, and …

A feature selection based on improved artificial hummingbird algorithm using random opposition-based learning for solving waste classification problem

MAS Ali, FR PP, D Salama Abd Elminaam - Mathematics, 2022 - mdpi.com
Recycling tasks are the most effective method for reducing waste generation, protecting the
environment, and boosting the overall national economy. The productivity and effectiveness …

Mixed pixel decomposition based on extended fuzzy clustering for single spectral value remote sensing images

S Kaur, RK Bansal, M Mittal, LM Goyal, I Kaur… - Journal of the Indian …, 2019 - Springer
The presence of mixed pixels in remote sensing images is the major issue for accurate
classification. In this paper, we have focused on two aspects of mixed pixel problem: firstly …

An empirical-based rainfall-runoff modelling using optimization technique

B Roy, MP Singh - International journal of river basin management, 2020 - Taylor & Francis
This study proposes a new hybrid biogeography-based optimization (BBO) technique to
achieve a better balance between exploitation and exploration sides of BBO. The proposed …

NBBO: A new variant of biogeography-based optimization with a novel framework and a two-phase migration operator

A Reihanian, MR Feizi-Derakhshi, HS Aghdasi - Information Sciences, 2019 - Elsevier
Biogeography-based optimization (BBO) is a novel evolutionary algorithm, which is
proposed with inspiration from the science of biogeography, to solve global optimization …

A hybrid evolutionary approach to job-shop scheduling with generic time lags

M Harrabi, OB Driss, K Ghedira - Journal of Scheduling, 2021 - Springer
This paper addresses the job shop scheduling problem including time lag constraints. This
is an extension of the job shop scheduling problem with many applications in real …

Parameters identification of fluxgate magnetic core adopting the biogeography-based optimization algorithm

W Jiang, Y Shi, W Zhao, X Wang - Sensors, 2016 - mdpi.com
The main part of the magnetic fluxgate sensor is the magnetic core, the hysteresis
characteristic of which affects the performance of the sensor. When the fluxgate sensors are …

Biogeography-based optimization for short-term hydrothermal scheduling

S Datta, M Basu, A Bhattacharya - … International Conference on …, 2012 - ieeexplore.ieee.org
This paper presents Biogeography Based Optimization or BBO technique to determine short
term hydrothermal scheduling, taking into account most of the equality and inequality …

Biogeography and geo-sciences based land cover feature extraction

L Goel, D Gupta, VK Panchal - Applied Soft Computing, 2013 - Elsevier
This work proposes a biogeography and geo-sciences based soft computing technique
which is an extension of original biogeography based feature extraction algorithm using the …