Shi Cheng

Shi Cheng received the Bachelor's degree in Mechanical and Electrical Engineering from Xiamen University, Xiamen, the Master's degree in Software Engineering from Beihang University (BUAA), Beijing, China, the Ph.D. degree in Electrical Engineering and Electronics from Liverpool University, Liverpool, United Kingdom, the Ph.D. degree in Electrical and Electronic Engineering from Xi’an Jiaotong-Liverpool University, Suzhou, China in 2005, 2008, and 2013, respectively. He is currently a lecturer with School of Computer Science, Shaanxi Normal University, Xi’an, China. His current research interests include swarm intelligence, multiobjective optimization, and data mining techniques and their applications.

Publications

Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems
Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems
Shi Cheng, Yuhui Shi. © 2020. 482 pages.
The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner....
Experimental Study on Boundary Constraints Handling in Particle Swarm Optimization
Experimental Study on Boundary Constraints Handling in Particle Swarm Optimization
Shi Cheng, Yuhui Shi. © 2020. 30 pages.
With an improper boundary constraints handling method, particles may get “stuck in” the boundary. Premature convergence means that an algorithm has lost its ability of...
Contour Gradient Optimization
Contour Gradient Optimization
Zhou Wu, Shi Cheng, Yuhui Shi. © 2020. 30 pages.
Inspired by local cooperation in the real world, a new evolutionary algorithm, Contour Gradient Optimization algorithm (CGO), is proposed for solving optimization problems. CGO...
An Analysis of Fireworks Algorithm Solving Problems With Shifts in the Decision Space and Objective Space
An Analysis of Fireworks Algorithm Solving Problems With Shifts in the Decision Space and Objective Space
Shi Cheng, Junfeng Chen, Quande Qin, Yuhui Shi. © 2020. 35 pages.
Fireworks algorithms for solving problems with the optima shifts in the decision space and/or objective space are analyzed. The standard benchmark problems have several...
Population Diversity of Particle Swarm Optimization Algorithm on Solving Single and Multi-Objective Problems
Population Diversity of Particle Swarm Optimization Algorithm on Solving Single and Multi-Objective Problems
Shi Cheng, Yuhui Shi, Quande Qin. © 2020. 33 pages.
Premature convergence occurs in swarm intelligence algorithms searching for optima. A swarm intelligence algorithm has two kinds of abilities: the exploration of new...
A Study of Normalized Population Diversity in Particle Swarm Optimization
A Study of Normalized Population Diversity in Particle Swarm Optimization
Shi Cheng, Yuhui Shi, Quande Qin. © 2020. 37 pages.
The values and velocities of a Particle swarm optimization (PSO) algorithm can be recorded as a series of matrix and its population diversity can be considered as an observation...
An Analysis on Fireworks Algorithm Solving Problems With Shifts in the Decision Space and Objective Space
An Analysis on Fireworks Algorithm Solving Problems With Shifts in the Decision Space and Objective Space
Shi Cheng, Junfeng Chen, Quande Qin, Yuhui Shi. © 2018. 35 pages.
Fireworks algorithms for solving problems with the optima shifts in decision space and/or objective space are analyzed. The standard benchmark problems have several weaknesses in...
International Journal of Swarm Intelligence Research (IJSIR)
International Journal of Swarm Intelligence Research (IJSIR)
Yuhui Shi. Est. 2010.
The International Journal of Swarm Intelligence Research (IJSIR) serves as a forum for facilitating and enhancing the information sharing among swarm intelligence researchers in...