… In this work, only one bat is selected for EO operation at each iteration. The selection probability
of Boltzmann selection can be descried as follows:(14) P E i = 1 - P B i = 1 - exp ( f ( X i ) / …

… Nature-inspired algorithms are a very important part of meta-heuristics. … algorithm called
the Dynamic Virtual Bats Algorithm (DVBA) is presented in this paper. DVBA is inspired by a bat’…

… , Bat Algorithm, Cuckoo Search, and the Firefly Algorithm. The proposed approach is validated
in the context of binary image reconstruction over two well-known datasets. Furthermore, …

… Several methods can be used for the purpose of selection, such as Boltzmann selection, …
quantum inspired bat algorithm was proposed in this article. The diversity of the bat population …

… bat algorithm (BA), called enhanced Lévy flight bat algorithm … local search; and (iii) selection
of new equations for updating … The other two terms presented are the Boltzmann constant (k …

… is likelihood function of Conditional Boltzmann Distribution. After we defined the … bat
algorithm BAMCG steps to get the optimal maximum likelihood function of Conditional Boltzmann …

… This paper addresses the problem of selecting a suitable … as Particle Swarm Optimization,
Bat Algorithm, and Artificial Bee … Yang and AH Gandomi, “Bat algorithm: a novel approach for …

… bat algorithm mainly takes the bat algorithm as the framework, fuses the simulated annealing
algorithm … convergence mechanism of tournament and natural selection. In this section, we …

… biological ideas which consider the natural selection principle of survival-of-… selection,
recombination, mutation, and survival selection [26].The most popular EAs are genetic algorithm (…

… MOGWO algorithm, so as to reduce the possibility of the algorithm falling … selection strategy
based on the Boltzmann selection strategy to improve the convergence speed of the algorithm…