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Shu-Chuan Chu
Researcher at Shandong University of Science and Technology
Publications - 303
Citations - 5475
Shu-Chuan Chu is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 28, co-authored 231 publications receiving 3652 citations. Previous affiliations of Shu-Chuan Chu include University of South Australia & Sewanee: The University of the South.
Papers
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Proceedings Article
A Compact Articial Bee Colony Optimization for Topology Control Scheme in Wireless Sensor Networks
TL;DR: The experimental shows that the proposed cABC method is not only as accurate as the existing original Articial Bee Colony optimization but also requires less calculative time than the origi- nal method and uses a modest memory with only six agents needed for storing space.
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An efficient surrogate-assisted quasi-affine transformation evolutionary algorithm for expensive optimization problems
TL;DR: The proposed surrogate-assisted quasi-affine transformation evolutionary (SA-QUATRE) algorithm is proposed to further enhance the optimization efficiency and effectiveness and is compared with five state-of-the-art optimization approaches over seven commonly used benchmark functions with dimensions varying from 10 to 100.
Optimization Localization in Wireless Sensor Network Based on Multi-Objective Firefly Algorithm
TL;DR: The multi-objective firefly algorithm for estimating the located nodes in a network is proposed to solve the localization issues in WSNs and produces the considerable improvement in terms of localization accuracy and convergence rate.
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Hadamard transform based fast codeword search algorithm for high-dimensional VQ encoding
TL;DR: An efficient nearest neighbor codeword search algorithm based on Hadamard transform for vector quantization is presented and experimental results demonstrate the proposed algorithm is much more efficient than most existing nearest neighborCodewords search algorithms in the case of high dimension.
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Symbiotic Organism Search Algorithm with Multi-Group Quantum-Behavior Communication Scheme Applied in Wireless Sensor Networks
TL;DR: This work applied the strategy of multi-group communication and quantum behavior to the SOS algorithm, and formed a novel global optimization algorithm called the MQSOS algorithm, which has speed and convergence ability and plays a good role in solving practical problems with multiple arguments.