Oppositional biogeography-based optimization

By Mehmet Ergezer, D. Simon, Dawei Du. IEEE International Conference on Systems, Man and Cybernetics, 2009

2,518 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/feb68d6c0c18fc56def8b0e3461dd711fd1d17ca

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Citations in the corpus

Water wave optimization: A new nature-inspired metaheuristic (2015, background): “IWO and BBO respectively rank first and second on f9, followed by WWOwhich is significantly different from (better than) GSA, HuS and BA. f9, the shifted and rotated Rastrigin's function, has a huge Table 2 Comparative results on unimodal benchmark functions.”
Generalizing Surrogate-Assisted Evolutionary Computation (2010, background): “Many successful applications of EAs have been reported, ranging from music composition [1] to financial forecasting [2], aircraft design [3], jobshop scheduling [4], and drug design [5].”
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems (2017, background): “There are several other evolutionary algorithms n the literature such as Differential Evolution (DE) [4] , Evolutionry Strategy (ES) [5] , and Evolutionary Programming (EP) [6,7] , and iogeography-Based Optimization (BBO) algorithm [8] as well.”
Tuna Swarm Optimization: A Novel Swarm-Based Metaheuristic Algorithm for Global Optimization (2021, methodology): “In addition, several new evolution-based algorithms have been proposed, such as artificial algae algorithm (AAA) [20], biogeographybased optimization (BBO) [21], and monkey king evolutionary (MKE) [22].”
Gbest-guided artificial bee colony algorithm for numerical function optimization (2010, background): “By now, there have been several kinds of biological-inspired optimization algorithms, such as genetic algorithm (GA) inspired by the Darwinian law of survival of the fittest [1,2], particle swarm optimization (PSO) inspired by the social behavior of bird flocking or fish schooling [3,4], ant colony ”
Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems (2019, background): “Apart from these, some of the other popular evolutionary-based algorithms are Genetic Programming (GP) [31], Evolution Strategy (ES) [32], and Biogeography-Based Optimizer (BBO) [33].”
Elephant Herding Optimization (2015, methodology): “By comparing with BBO [53-58], DE [59-64] and GA [65], the performance of EHO is investigated by several experiments implemented on fifteen test cases.”
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, background): “The six primary parameters of biogeography-based optimization (BBO) are the probability of modifying a habitat, the probability of immigration limits, the size of each step, the probability of mutation, I, and E (Simon 2008).”