A Novel Mixed-Variable Fireworks Optimization Algorithm for Path and Time Sequence Optimization in WRSNs

被引：2

作者：

Xia, Chengkai ^{[1
]}

Wei, Zhenchun ^{[1
,2
,3
]}

Lyu, Zengwei ^{[1
]}

Wang, Liangliang ^{[1
]}

Liu, Fei ^{[1
]}

Feng, Lin ^{[1
]}

机构：

[1] Hefei Univ Technol, Sch Comp & Informat, Hefei, Peoples R China

[2] Minist Educ, Engn Res Ctr Safety Crit Ind Measurement & Contro, Hefei, Peoples R China

[3] Key Lab Ind Safety & Emergency Technol, Hefei, Anhui, Peoples R China

来源：

COMMUNICATIONS AND NETWORKING, CHINACOM 2018 | 2019年 / 262卷

关键词：

Wireless rechargeable sensor networks; Mixed-variable optimization; Fireworks algorithm;

D O I：

10.1007/978-3-030-06161-6_3

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To prolong the lifespan of the network, the auxiliary charging equipment is introduced into the traditional Wireless Sensor Networks (WSNs), known as Wireless Rechargeable Sensor Networks (WRSNs). Different from existing researches, in this paper, a periodic charging and data collecting model in WRSNs is proposed to keep the network working perpetually and improve data collection ratio. Meanwhile, the Wireless Charging Vehicle (WCV) has more working patterns, charging, waiting, and collecting data when staying at the sensor nodes. Then, the simultaneous optimization for the traveling path and time sequence is formulated to be a mixed-variable optimization problem. A novel Mixed-Variable Fireworks Optimization Algorithm (MVFOA) is proposed to solve it. A large number of experiments show the feasibility of the MVFOA, and MVFOA is superior to the Greedy Algorithm.

引用

页码：24 / 34

页数：11

共 50 条

[21] A GPU-based Parallel Fireworks Algorithm for Optimization [J].

Ding, Ke ;

Zheng, Shaoqiu ;

Tan, Ying .

GECCO'13: PROCEEDINGS OF THE 2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2013, :9-16

[22] A Multi-strategy Improved Fireworks Optimization Algorithm [J].

Zou, Pengcheng ;

Huang, Huajuan ;

Wei, Xiuxi .

INTELLIGENT COMPUTING THEORIES AND APPLICATION (ICIC 2022), PT I, 2022, 13393 :97-111

[23] Support Vector Machine Parameters Optimization by Enhanced Fireworks Algorithm [J].

Tuba, Eva ;

Tuba, Milan ;

Beko, Marko .

ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT I, 2016, 9712 :526-534

[24] Economic Dispatch Optimization for Microgrid Based on Fireworks Algorithm with Momentum [J].

Li, Mingze ;

Tan, Ying .

ADVANCES IN SWARM INTELLIGENCE, ICSI 2022, PT I, 2022, :339-353

[25] Soft Subspace Algorithm for MR Image Clustering Based on Fireworks Optimization Algorithm [J].

Fan H. ;

Hou C.-C. ;

Zhu Y.-C. ;

Rao R.-X. .

Ruan Jian Xue Bao/Journal of Software, 2017, 28 (11) :3080-3093

[26] AUV Global Path Panning Based on Improved T-Distribution Fireworks-Particle Swarm Optimization Algorithm [J].

Liu, Zhi-Hua ;

Zhang, Ran ;

Hao, Meng-Nan ;

An, Kai-Chen ;

Chen, Jia-Xing .

Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2024, 52 (09) :3123-3134

[27] A Membrane-Fireworks Algorithm for Multi-Objective Optimization Problems [J].

Chen Taowei ;

Yu Yiming ;

Zhao Kun ;

Duan, Zhengtai .

2018 11TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2018), 2018,

[28] Fireworks Algorithm and Particle Swarm Optimization for Watermarking in Image Vector Quantization [J].

Canejo, Marcos Jose ;

Galvao, Jair ;

Lopes, Waslon T. A. ;

Silva, Hugerles S. ;

Madeiro, Francisco .

REVISTA BRASILEIRA DE COMPUTACAO APLICADA, 2025, 17 (01) :33-44

[29] An improved fireworks algorithm for discrete sizing optimization of steel skeletal structures [J].

Gholizadeh, Saeed ;

Milany, Arman .

ENGINEERING OPTIMIZATION, 2018, 50 (11) :1829-1849

[30] A core firework updating information guided dynamic fireworks algorithm for global optimization [J].

Zhao, Haitong ;

Zhang, Changsheng ;

Ning, Jiaxu .

SOFT COMPUTING, 2020, 24 (02) :1185-1211

← 1 2 3 4 5 →