Biogeography-based optimization: a 10-year review
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 …
the migration of species between habitats. Almost 10 years have passed since the first BBO …
Biogeography-based optimisation with chaos
S Saremi, S Mirjalili, A Lewis - Neural Computing and Applications, 2014 - Springer
The biogeography-based optimisation (BBO) algorithm is a novel evolutionary algorithm
inspired by biogeography. Similarly, to other evolutionary algorithms, entrapment in local …
inspired by biogeography. Similarly, to other evolutionary algorithms, entrapment in local …
Oppositional biogeography-based optimization
M Ergezer, D Simon, D Du - 2009 IEEE international …, 2009 - ieeexplore.ieee.org
We propose a novel variation to biogeography-based optimization (BBO), which is an
evolutionary algorithm (EA) developed for global optimization. The new algorithm employs …
evolutionary algorithm (EA) developed for global optimization. The new algorithm employs …
Blended biogeography-based optimization for constrained optimization
H Ma, D Simon - Engineering Applications of Artificial Intelligence, 2011 - Elsevier
Biogeography-based optimization (BBO) is a new evolutionary optimization method that is
based on the science of biogeography. We propose two extensions to BBO. First, we …
based on the science of biogeography. We propose two extensions to BBO. First, we …
Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping
The main goal of this study was to optimize an adaptive neuro-fuzzy inference system
(ANFIS) using three meta-heuristic optimization algorithms—genetic algorithm (GA) …
(ANFIS) using three meta-heuristic optimization algorithms—genetic algorithm (GA) …
An analysis of the equilibrium of migration models for biogeography-based optimization
H Ma - Information Sciences, 2010 - Elsevier
Motivated by the migration mechanisms of ecosystems, various extensions to biogeography-
based optimization (BBO) are proposed here. As a global optimization method, BBO is an …
based optimization (BBO) are proposed here. As a global optimization method, BBO is an …
Novel knacks of chaotic maps with Archimedes optimization paradigm for nonlinear ARX model identification with key term separation
Archimedes' optimization algorithm (AOA) is a recently proposed physics-based optimization
algorithm inspired by Archimedes' Principle. However, for optimization of complex …
algorithm inspired by Archimedes' Principle. However, for optimization of complex …
Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones
Accurate prediction of reference evapotranspiration (ET 0) is essential for efficient planning
and management of limited water resources through proper irrigation scheduling. The FAO …
and management of limited water resources through proper irrigation scheduling. The FAO …
Feature selection by using chaotic cuckoo optimization algorithm with levy flight, opposition-based learning and disruption operator
M Kelidari, J Hamidzadeh - Soft Computing, 2021 - Springer
Feature selection, which plays an important role in high-dimensional data analysis, is
drawing increasing attention recently. Finding the most relevant and important features for …
drawing increasing attention recently. Finding the most relevant and important features for …
A bi-objective integrated procurement, production, and distribution problem of a multi-echelon supply chain network design: A new tuned MOEA
K Sarrafha, SHA Rahmati, STA Niaki… - Computers & operations …, 2015 - Elsevier
Efficient management of supply chain (SC) requires systematic considerations of
miscellaneous issues in its comprehensive version. In this paper, a multi-periodic structure is …
miscellaneous issues in its comprehensive version. In this paper, a multi-periodic structure is …