This work is supported by the National Natural Science Foundation of China (Grant Nos.61472159, 61572227, 61772227), Development Project of Jilin Province of China (Nos. 20160204022GX, 20170101006JC, 20170203002GX, 2017C030-1, 2017C033, 20180414012GH). This work is also supported in part by Premier-Discipline Enhancement Scheme supported by Zhuhai Government and Premier Key-Discipline Enhancement Scheme supported Guangdong Government Funds, and Jilin Provincial Key Laboratory of Big Data Intelligent Computing (20180622002JC).Peer reviewedPublisher PD
In recent years, particles’ optimization algorithm has highly been used as an effective method in so...
With the rapid upliftment of technology, there has emerged a dire need to fine-tune or optimize cert...
Over the ages, nature has constantly been a rich source of inspiration for science, with much still ...
Swarming intelligence (SI) is the property of a system whereby the collective behaviors of (unsophis...
Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs) have been...
The application of swarm intelligence (SI) in the optimization field has been gaining much popularit...
制度:新 ; 報告番号:甲3789号 ; 学位の種類:博士(工学) ; 授与年月日:2013/3/15 ; 早大学位記番号:新6165Waseda Universit
Swarm intelligence algorithms have been widely used to solve difficult real world problems in both a...
Engineering optimization techniques are computationally intensive and can challenge implementations ...
Tese (doutorado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Mecân...
This brief proposes a parallel implementation, with fixed point, of the particle swarm optimization ...
In the context of today’s artificial intelligence, the volume of data is exploding. Although scaling...
Since few years ago, the parallel processing has been embedded in personal computers by including co...
Swarm intelligence optimization algorithm is an emerging technology tosimulate the evolution of the ...
There are numerous large-scale global optimization problems encountered in real-world applications i...
In recent years, particles’ optimization algorithm has highly been used as an effective method in so...
With the rapid upliftment of technology, there has emerged a dire need to fine-tune or optimize cert...
Over the ages, nature has constantly been a rich source of inspiration for science, with much still ...
Swarming intelligence (SI) is the property of a system whereby the collective behaviors of (unsophis...
Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs) have been...
The application of swarm intelligence (SI) in the optimization field has been gaining much popularit...
制度:新 ; 報告番号:甲3789号 ; 学位の種類:博士(工学) ; 授与年月日:2013/3/15 ; 早大学位記番号:新6165Waseda Universit
Swarm intelligence algorithms have been widely used to solve difficult real world problems in both a...
Engineering optimization techniques are computationally intensive and can challenge implementations ...
Tese (doutorado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Mecân...
This brief proposes a parallel implementation, with fixed point, of the particle swarm optimization ...
In the context of today’s artificial intelligence, the volume of data is exploding. Although scaling...
Since few years ago, the parallel processing has been embedded in personal computers by including co...
Swarm intelligence optimization algorithm is an emerging technology tosimulate the evolution of the ...
There are numerous large-scale global optimization problems encountered in real-world applications i...
In recent years, particles’ optimization algorithm has highly been used as an effective method in so...
With the rapid upliftment of technology, there has emerged a dire need to fine-tune or optimize cert...
Over the ages, nature has constantly been a rich source of inspiration for science, with much still ...