Yun Cai

Work place: Wuhan University of Science and Technology/Country College of Machinery and Automation, Wuhan, China



Research Interests: Computer systems and computational processes, Planning and Scheduling, Systems Architecture


Yun Cai was born in Urumchi, China in 1970. She received Bachelor’s degree of Mechanical Technology from Dalian railway institute, Dalian, China in 1991, Master’s degree of Mechatronic Engineering from Xinjiang university, Xinjiang, China in 2002, and Doctor’s degree of Mechanical Design and Theory from Wuhan university of technology,Wuhan,China in 2005.
She has over five years experience teaching at Wuhan university of science and technology as an associate professor, Her major field of study is optimization and simulation technology. Currently she is engaged in solving scheduling problem in logistics systems.

Author Articles
Artificial Fish School Algorithm Applied in a Combinatorial Optimization Problem

By Yun Cai

DOI:, Pub. Date: 8 Nov. 2010

An improved artificial fish swarm algorithm (AFSA) for solving a combinatorial optimization problem—a berth allocation problem (BAP), which was formulated. Its objective is to minimize the turnaround time of vessels at container terminals so as to improve operation efficiency customer satisfaction. An adaptive artificial fish swarm algorithm was proposed to solve it. Firstly, the basic principle and the algorithm design of the AFSA were introduced. Then, for a test case, computational experiments explored the effect of algorithm parameters on the convergence of the algorithm. Experimental results verified the validity and feasibility of the proposed algorithm with rational parameters, and show that the algorithm has better convergence performance than genetic algorithm (GA) and ant colony optimization (ACO).

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