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Open AccessArticle

Symbiotic Organism Search Algorithm with Multi-Group Quantum-Behavior Communication Scheme Applied in Wireless Sensor Networks

1
College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
2
College of Science and Engineering, Flinders University, 1284 South Road, Clovelly Park SA 5042, Australia
3
School of Information Science and Engineering, Fujian University of Technology, Fuzhou 350108, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(3), 930; https://doi.org/10.3390/app10030930
Received: 2 December 2019 / Accepted: 21 January 2020 / Published: 31 January 2020
(This article belongs to the Special Issue Intelligence Systems and Sensors)
The symbiotic organism search (SOS) algorithm is a promising meta-heuristic evolutionary algorithm. Its excellent quality of global optimization solution has aroused the interest of many researchers. In this work, we not only applied the strategy of multi-group communication and quantum behavior to the SOS algorithm, but also formed a novel global optimization algorithm called the MQSOS algorithm. It has speed and convergence ability and plays a good role in solving practical problems with multiple arguments. We also compared MQSOS with other intelligent algorithms under the CEC2013 large-scale optimization test suite, such as particle swarm optimization (PSO), parallel PSO (PPSO), adaptive PSO (APSO), QUasi-Affine TRansformation Evolutionary (QUATRE), and oppositional SOS (OSOS). The experimental results show that MQSOS algorithm had better performance than the other intelligent algorithms. In addition, we combined and optimized the DV-hop algorithm for node localization in wireless sensor networks, and also improved the DV-hop localization algorithm to achieve higher localization accuracy than some existing algorithms. View Full-Text
Keywords: SOS; MQSOS; OSOS; PSO; PPSO; APSO; QUATRE; WSN; DV-hop SOS; MQSOS; OSOS; PSO; PPSO; APSO; QUATRE; WSN; DV-hop
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MDPI and ACS Style

Chu, S.-C.; Du, Z.-G.; Pan, J.-S. Symbiotic Organism Search Algorithm with Multi-Group Quantum-Behavior Communication Scheme Applied in Wireless Sensor Networks. Appl. Sci. 2020, 10, 930. https://doi.org/10.3390/app10030930

AMA Style

Chu S-C, Du Z-G, Pan J-S. Symbiotic Organism Search Algorithm with Multi-Group Quantum-Behavior Communication Scheme Applied in Wireless Sensor Networks. Applied Sciences. 2020; 10(3):930. https://doi.org/10.3390/app10030930

Chicago/Turabian Style

Chu, Shu-Chuan; Du, Zhi-Gang; Pan, Jeng-Shyang. 2020. "Symbiotic Organism Search Algorithm with Multi-Group Quantum-Behavior Communication Scheme Applied in Wireless Sensor Networks" Appl. Sci. 10, no. 3: 930. https://doi.org/10.3390/app10030930

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