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 …
Parameter extraction of solar photovoltaic models by means of a hybrid differential evolution with whale optimization algorithm
Parameter extraction of solar photovoltaic (PV) models is a typical complex nonlinear
multivariable strongly coupled optimization problem. The original differential evolution (DE) …
multivariable strongly coupled optimization problem. The original differential evolution (DE) …
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 …
Review of differential evolution population size
AP Piotrowski - Swarm and Evolutionary Computation, 2017 - Elsevier
Abstract Population size of Differential Evolution (DE) algorithms is often specified by user
and remains fixed during run. During the first decade since the introduction of DE the …
and remains fixed during run. During the first decade since the introduction of DE the …
Differential evolution: A survey and analysis
Differential evolution (DE) has been extensively used in optimization studies since its
development in 1995 because of its reputation as an effective global optimizer. DE is a …
development in 1995 because of its reputation as an effective global optimizer. DE is a …
Enhancing artificial bee colony algorithm using more information-based search equations
W Gao, S Liu, L Huang - Information Sciences, 2014 - Elsevier
Artificial bee colony (ABC) algorithm is a relatively new optimization technique which has
been shown to be competitive to other population-based algorithms. However, there is still …
been shown to be competitive to other population-based algorithms. However, there is still …
Multiobjective binary biogeography based optimization for feature selection using gene expression data
Gene expression data play an important role in the development of efficient cancer
diagnoses and classification. However, gene expression data are usually redundant and …
diagnoses and classification. However, gene expression data are usually redundant and …
[HTML][HTML] Ecogeography-based optimization: enhancing biogeography-based optimization with ecogeographic barriers and differentiations
YJ Zheng, HF Ling, JY Xue - Computers & Operations Research, 2014 - Elsevier
Biogeography-based optimization (BBO) is a bio-inspired metaheuristic based on the
mathematics of island biogeography. The paper proposes a new variation of BBO, named …
mathematics of island biogeography. The paper proposes a new variation of BBO, named …
A differential evolution algorithm with intersect mutation operator
This paper proposes a novel differential evolution (DE) algorithm with intersect mutation
operation called intersect mutation differential evolution (IMDE) algorithm. Instead of …
operation called intersect mutation differential evolution (IMDE) algorithm. Instead of …
Adaptive memetic differential evolution with global and local neighborhood-based mutation operators
AP Piotrowski - Information Sciences, 2013 - Elsevier
Differential Evolution (DE) is one of the most popular optimization methods for real-valued
problems and a large number of its variants have been proposed so far. However, bringing …
problems and a large number of its variants have been proposed so far. However, bringing …