Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
Bio inspired computing–a review of algorithms and scope of applications
AK Kar - Expert Systems with Applications, 2016 - Elsevier
With the explosion of data generation, getting optimal solutions to data driven problems is
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …
increasingly becoming a challenge, if not impossible. It is increasingly being recognised that …
Genetic algorithm based on natural selection theory for optimization problems
The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls
under the umbrella category of evolutionary algorithms (EA). Genetic algorithms are typically …
under the umbrella category of evolutionary algorithms (EA). Genetic algorithms are typically …
Swarm intelligence: A review of algorithms
A Chakraborty, AK Kar - … -inspired computing and optimization: Theory and …, 2017 - Springer
Swarm intelligence (SI), an integral part in the field of artificial intelligence, is gradually
gaining prominence, as more and more high complexity problems require solutions which …
gaining prominence, as more and more high complexity problems require solutions which …
Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey
Multi-population based nature-inspired optimization algorithms have attracted wide research
interests in the last decade, and become one of the frequently used methods to handle real …
interests in the last decade, and become one of the frequently used methods to handle real …
A novel bat algorithm with habitat selection and Doppler effect in echoes for optimization
A novel bat algorithm (NBA) is proposed for optimization in this paper, which focuses on
further mimicking the bats' behaviors and improving bat algorithm (BA) in view of biology …
further mimicking the bats' behaviors and improving bat algorithm (BA) in view of biology …
Swarm intelligence-based algorithms within IoT-based systems: A review
IoT-based systems are complex and dynamic aggregations of entities (Smart Objects) which
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …
A discrete bat algorithm based on Lévy flights for Euclidean traveling salesman problem
Y Saji, M Barkatou - Expert Systems with Applications, 2021 - Elsevier
Bat algorithm is a swarm-intelligence-based metaheuristic proposed in 2010. This algorithm
was inspired by echolocation behavior of bats when searching their prey in nature. Since it …
was inspired by echolocation behavior of bats when searching their prey in nature. Since it …
[HTML][HTML] Chaos-enhanced synchronized bat optimizer
H Yu, N Zhao, P Wang, H Chen, C Li - Applied Mathematical Modelling, 2020 - Elsevier
In this paper, a chaos-enhanced bat algorithm is proposed to tackle the global optimization
problems. Bat algorithm is a relatively new stochastic optimizer inspired by the echolocation …
problems. Bat algorithm is a relatively new stochastic optimizer inspired by the echolocation …
Bat algorithm with triangle-flipping strategy for numerical optimization
Bat algorithm (BA) is a novel population-based evolutionary algorithm inspired by
echolocation behavior. Due to its simple concept, BA has been widely applied to various …
echolocation behavior. Due to its simple concept, BA has been widely applied to various …