搜索particle swarm optimization algorithm共有 16 个结果
1
Improved hybrid particle swarm optimization algorithm for vehicle routing problem with drone and time window
Accepted Paper
2024年第8期 :
doi:10.19734/j.issn.1001-3695.2023.12.0608
2
Two-stage collaborative charging scheduling strategy for airport multiple special vehicles
Accepted Paper
2024年第7期 :
doi:10.19734/j.issn.1001-3695.2023.12.0566
3
Accelerated particle swarm optimization algorithm for container deployment in cloud environments
2024年第3期 : 756-763
doi:10.19734/j.issn.1001-3695.2023.07.0312
4
Particle swarm optimization algorithm with dual population cross-learning
2023年第11期 : 3254-3261,3268
doi:10.19734/j.issn.1001-3695.2023.03.0133
5
Deep convolutional neural architecture search method based on hybrid particle swarm optimization algorithm
2023年第7期 : 2019-2024
doi:10.19734/j.issn.1001-3695.2022.12.0811
6
Double strategies co-evolutionary quantum-behaved particle swarm optimization algorithm and its application
2023年第2期 : 418-423
doi:10.19734/j.issn.1001-3695.2022.07.0353
7
Improved particle swarm optimization algorithm with multi-strategy fusion
2022年第11期 : 3358-3364
doi:10.19734/j.issn.1001-3695.2022.04.0167
8
Multi-swarm collaborative particle swarm optimization algorithm based on comprehensive dimensional learning
2022年第8期 : 2369-2375,2387
doi:10.19734/j.issn.1001-3695.2022.01.0019
9
Clustering protocol for wireless sensor network based on spatio-temporal weighted objective function
2022年第4期 : 1173-1177
doi:10.19734/j.issn.1001-3695.2021.09.0416
10
Improved particle swarm optimization algorithm for mobile robot path planning
2021年第10期 : 3089-3092
doi:10.19734/j.issn.1001-3695.2021.01.0061
11
Research on adaptive particle swarm optimization algorithm with curve increasing strategy
2021年第6期 : 1653-1656,1661
doi:10.19734/j.issn.1001-3695.2020.09.0235
12
Disruption particle swarm optimization algorithm based on exponential decay weight
2020年第4期 : 1020-1024
doi:10.19734/j.issn.1001-3695.2018.10.0734
13
Multi-objective particle swarm optimization algorithm using differential evolution for feature selection
2020年第1期 : 76-79,111
doi:10.19734/j.issn.1001-3695.2018.05.0448
14
New method of MAP fixed-point selection based on improved PSO algorithm
2019年第11期 : 3493-3495
doi:10.19734/j.issn.1001-3695.2018.04.0218
15
Self-organizing multi-objective particle swarm optimization algorithm
2019年第8期 : 2311-2316,2348
doi:10.19734/j.issn.1001-3695.2018.01.0070
16
Chaotic mapping particle swarm optimization algorithm based on variable learning factors
2019年第5期 : 1319-1322
doi:10.19734/j.issn.1001-3695.2017.11.0737