Yuhui Shi

Yuhui Shi received the PhD degree in electronic engineering from Southeast University, Nanjing, China, in 1992. He is a chair professor in the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China. Before joining Southern University of Science and Technology, he was with Electronic Data Systems Corporation, Indianapolis, IN. His main research interests include the areas of computational intelligence techniques (including swarm intelligence) and their applications. Dr. Shi is the Editor-in-Chief of the International Journal of Swarm Intelligence Research. (Kuruge Abeyrathna - Contributing Author) Darshana is a PhD research fellow at the University of Agder. He completed his BSc in Mechatronics Engineering at AIT university, Thailand in 2015. Then he directly joined to the Big Data research group at Thammasat University, Thailand for his MSc studies and graduated in 2017. His research interests are in Artificial Neural Networks, Data Mining, Optimization, and Operations Research. Currently, at CAIR, he is working on a project which develops a global grid that facilitates real-time compilation, management, and analysis of spatio-temporal data.

Publications

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
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
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
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
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
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...
Critical Developments and Applications of Swarm Intelligence
Yuhui Shi. © 2018. 478 pages.
Artificial intelligence is a constantly advancing field that requires models in order to accurately create functional systems. The use of natural acumen to create artificial...
Unified Swarm Intelligence Algorithms
Yuhui Shi. © 2018. 26 pages.
In this chapter, the necessity of having developmental learning embedded in a swarm intelligence algorithm is confirmed by briefly considering brain evolution, brain development...
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...
Emerging Research on Swarm Intelligence and Algorithm Optimization
Yuhui Shi. © 2015. 341 pages.
Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing...
Recent Algorithms and Applications in Swarm Intelligence Research
Yuhui Shi. © 2013. 340 pages.
Advancements in the nature-inspired swarm intelligence algorithms continue to be useful in solving complicated problems in nonlinear, non-differentiable, and un-continuous...
Experimental Study on Boundary Constraint Handling in Particle Swarm Optimization: From Population Diversity Perspective
Shi Cheng, Yuhui Shi, Quande Qin. © 2013. 29 pages.
Premature convergence happens in Particle Swarm Optimization (PSO) for solving both multimodal problems and unimodal problems. With an improper boundary constraints handling...
An Optimization Algorithm Based on Brainstorming Process
Yuhui Shi. © 2013. 30 pages.
In this paper, the human brainstorming process is modeled, based on which two versions of Brain Storm Optimization (BSO) algorithm are introduced. Simulation results show that...
Innovations and Developments of Swarm Intelligence Applications
Yuhui Shi. © 2012. 398 pages.
The natural social behavior of large groups of animals, such as flocks of birds, schools of fish, or colonies of ants has fascinated scientists for hundreds of years, if not...
Experimental Study on Boundary Constraints Handling in Particle Swarm Optimization: From Population Diversity Perspective
Shi Cheng, Yuhui Shi, Quande Qin. © 2011. 27 pages.
Premature convergence happens in Particle Swarm Optimization (PSO) for solving both multimodal problems and unimodal problems. With an improper boundary constraints handling...
An Optimization Algorithm Based on Brainstorming Process
Yuhui Shi. © 2011. 28 pages.
In this paper, the human brainstorming process is modeled, based on which two versions of Brain Storm Optimization (BSO) algorithm are introduced. Simulation results show that...
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...