Biogeography-Based Optimization

By Dan Simon. IEEE Transactions on Evolutionary Computation, 2008

680 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/be74f2ba97058d3e4eed38e55d1e90f6d1418102

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Biomedical Engineering

Citations in the corpus

Grey Wolf Optimizer (2014, methodology): “As an example, the BBO algorithm was first proposed by Simon in 2008 [21].”
A Brief Review of Nature-Inspired Algorithms for Optimization (2013, methodology): “m Author Reference Algorithm Author Reference Accelerated PSO Yang et al. [69], [71] Atmosphere clouds model Yan and Hao [67] Ant colony optimization Dorigo [15] Biogeography-based optimization Simon [56] Artiﬁcial bee colony Karaboga and Basturk [31] Brain Storm Optimization Shi [55] Bacterial fora”
Oppositional biogeography-based optimization (2009, background): “some heavily-referenced articles [172, 170].”
A survey on optimization metaheuristics (2013, methodology): “Then, Simon proposed a biogeography-b ased optimization algorithm in 2008 [247].”
SCA: A Sine Cosine Algorithm for solving optimization problems (2016, methodology): “[34] H. Duan, W. Zhao, G. Wang, X. Feng, Test-sheet composition using analytic hi- erarchy process and hybrid metaheuristic algorithm TS/BBO, Math.”
Salp swarm algorithm: a comprehensive survey (2019, methodology): “…[21], ﬂower pollination algorithm [22], moth-ﬂame optimization algo-rithm [23], bacterial foraging algorithm [24], biogeogra-phy-based optimization [25], gray wolf optimizer (GWO) algorithm [26], ant lion optimization [27], particle swarm optimization algorithm [28], spotted hyena optimizer…”
Coronavirus herd immunity optimizer (CHIO) (2020, background): “Genetic algorithm (GA) [9], evolution strategy (ES) [16], genetic programming (GP) [17], and biogeography-based optimizer (BBO) [18] Swarm-based Particle swarm optimization (PSO) [10], ant colony optimization (ACO) [11], cuckoo search (CS) [19], bat algorithm (BA) [20], ant lion optimizer (ALO)…”
Nature-Inspired Optimization Algorithms: Challenges and Open Problems (2020, methodology): “…algorithms, such as simulated annealing (Kirkpatrick et al., 1983), bacteria foraging optimization [Passino(2002)], biogeography-based optimization [Simon(2008)], gravitational search (Rashedi et al.,2009), charged particle system [Kaveh and Talatahari(2010)], black-hole algorithm…”
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection (2020, background): “…such as Genetic Algorithm (GA) [11], Grey Wolf Optimizer (GWO) [12], Particle Swarm Optimization (PSO) [13], hybrid PSO– GWO [14], Bowerbird Optimizer (SBO) [15], Biogeography-Based Optimizer (BBO) [16], Bat Algorithm (BA) [17], Multiverse Optimization (MVO) [18], and Firefly Algorithm (FA) [19].”
Bio-inspired computation: Where we stand and what's next (2019, background): “Social and political behaviors have also served as an inspiration for the proposal of many heuristic solvers, for instance, the adop- tion of political practices such as imperialism (Imperialist Competitive Algorithm [31]) or anarchy (Anarchic Society Optimization [32]).”
A novel algorithm for global optimization: Rat Swarm Optimizer (2020, background): “1999), Differential Evolution (DE) (Storn and Price 1997), Evolution Strategy (ES) (Beyer and Schwefel 2002), and Biogeography-Based Optimizer (BBO) (Simon 2008).”
A Survey of Bio inspired Optimization Algorithms (2012, methodology): “optimization algorithm developed by Dan Simon in 2008[20]”
Political Optimizer: A novel socio-inspired meta-heuristic for global optimization (2020, neutral): “Few well-known evolutionary algorithms are Genetic Algorithm (GA) [5], Genetic Programming (GP) [6], Di ﬀ erential Evolution (DE) [7], Biogeog-raphy Based Optimizer (BBO) [8], and Evolutionary Strategy (ES) [9].”
The Arithmetic Optimization Algorithm (2021, methodology): “…with the following algorithms: • Genetic Algorithm (GA) [32] • Particle Swarm Optimization (PSO) [33] • Biogeography-based Optimization (BBO) [34] • Flower Pollination Algorithm (FPA) [35] • Grey Wolf Optimizer (GWO) [36] • Bat Algorithm (BAT) [37] • Firefly Algorithm (FA) [38] • Cuckoo…”
Harris hawks optimization: Algorithm and applications (2019, neutral): “…and performance of the proposed HHO is compared with other well-established optimization techniques such as the GA [22], BBO [22], DE [22], PSO [22], CS [34], TLBO [29], BA/BAT [52], FPA [53], FA [54], GWO [55], and MFO [56] algorithms based on the best, worst, standard deviation (STD) and…”