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Xin Liu
Researcher at Hebei University of Technology
Publications - 18
Citations - 647
Xin Liu is an academic researcher from Hebei University of Technology. The author has contributed to research in topics: Evolutionary algorithm & Wireless sensor network. The author has an hindex of 9, co-authored 12 publications receiving 274 citations. Previous affiliations of Xin Liu include Chinese Ministry of Education.
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A Distributed Parallel Cooperative Coevolutionary Multiobjective Evolutionary Algorithm for Large-Scale Optimization
TL;DR: Experimental results show that the novel algorithm has better performance in both optimization results and time consumption than cooperative coevolutionary generalized differential evolution 3 and multiobjective evolutionary algorithm based on decision variable analyses.
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Many-Objective Deployment Optimization for a Drone-Assisted Camera Network
TL;DR: Based on a 3D terrain environment represented by triangular mesh data, a many-objective optimization model for the deployment of multiple onboard cameras is constructed and an improved version of the constrained two-archive evolutionary algorithm is proposed.
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Distributed Parallel Particle Swarm Optimization for Multi-Objective and Many-Objective Large-Scale Optimization
TL;DR: The related research on PSO is surveyed: multi-objective large-scale optimization, many-Objective optimization, and distributed parallelism, and the proposed methodologies and future research trends are illuminated.
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Edge-Cloud Resource Scheduling in Space-Air-Ground Integrated Networks for Internet of Vehicles
TL;DR: A SAGIN-IoV edge–cloud architecture based on software-defined networking (SDN) and network function virtualization (NFV) and an improved algorithm are proposed that can effectively optimize the resource scheduling problem of SAGin-IioV.
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3-D Multiobjective Deployment of an Industrial Wireless Sensor Network for Maritime Applications Utilizing a Distributed Parallel Algorithm
TL;DR: A 3-D uncertain coverage model is proposed that uses a modified3-D sensing model and an uncertain fusion operator and a distributed parallel cooperative coevolutionary multiobjective large-scale evolutionary algorithm for maritime applications.