[HTML][HTML] Energy management strategy for plug-in hybrid electric vehicles based on driving condition recognition: a review
C Liu, Y Liu - Electronics, 2022 - mdpi.com
Appropriate energy management strategies (EMSs) have been selected for plug-in hybrid
electric vehicles (PHEVs) based on driving-condition recognition (DCR) according to the …
electric vehicles (PHEVs) based on driving-condition recognition (DCR) according to the …
[HTML][HTML] Fundamentos de otimização por inteligência de enxames: uma visão geral
ABS Serapião - Sba: Controle & Automação Sociedade Brasileira de …, 2009 - SciELO Brasil
Este artigo apresenta uma breve revisão de alguns dos mais recentes métodos
bioinspirados baseados no comportamento de populações para o desenvolvimento de …
bioinspirados baseados no comportamento de populações para o desenvolvimento de …
A survey: algorithms simulating bee swarm intelligence
D Karaboga, B Akay - Artificial intelligence review, 2009 - Springer
Swarm intelligence is an emerging area in the field of optimization and researchers have
developed various algorithms by modeling the behaviors of different swarm of animals and …
developed various algorithms by modeling the behaviors of different swarm of animals and …
[HTML][HTML] Multi-mode energy management strategy for fuel cell electric vehicles based on driving pattern identification using learning vector quantization neural network …
K Song, F Li, X Hu, L He, W Niu, S Lu, T Zhang - Journal of Power Sources, 2018 - Elsevier
The development of fuel cell electric vehicles can to a certain extent alleviate worldwide
energy and environmental issues. While a single energy management strategy cannot meet …
energy and environmental issues. While a single energy management strategy cannot meet …
A new automatic method for control chart patterns recognition based on ConvNet and harris hawks meta heuristic optimization algorithm
The productions quality has become one of the essential issues in the modern
manufacturing industry and several techniques have introduced for control and monitoring …
manufacturing industry and several techniques have introduced for control and monitoring …
Artificial bee colony algorithm and its application to generalized assignment problem
There is a trend in the scientific community to model and solve complex optimization
problems by employing natural metaphors. This is mainly due to inefficiency of classical …
problems by employing natural metaphors. This is mainly due to inefficiency of classical …
Bees algorithm for generalized assignment problem
Bees algorithm (BA) is a new member of meta-heuristics. BA tries to model natural behavior
of honey bees in food foraging. Honey bees use several mechanisms like waggle dance to …
of honey bees in food foraging. Honey bees use several mechanisms like waggle dance to …
Control chart recognition based on the parallel model of CNN and LSTM with GA optimization
Y Yu, M Zhang - Expert Systems with Applications, 2021 - Elsevier
Quality control process has become one of the most critical issues in intelligent
manufacturing. As the most practical and prevalent tools for continuously monitoring, control …
manufacturing. As the most practical and prevalent tools for continuously monitoring, control …
Amplitude-only pattern nulling of linear antenna arrays with the use of bees algorithm
K Guney, M Onay - Progress in Electromagnetics Research …, 2007 - avesis.erciyes.edu.tr
An efficient method based on bees algorithm (BA) for the pattern synthesis of linear antenna
arrays with the prescribed nulls is presented. Nulling of the pattern is achieved by controlling …
arrays with the prescribed nulls is presented. Nulling of the pattern is achieved by controlling …
Bee colony intelligence in zone constrained two-sided assembly line balancing problem
Bees Algorithm is a relatively new member of swarm intelligence based meta-heuristics
which tries to model natural behavior of real honey bees in food foraging. Honey bees use …
which tries to model natural behavior of real honey bees in food foraging. Honey bees use …