Abstract: Evolutionary Computation (EC) is the field of research devoted to the study of problem solving via simulated evolution. The first generation ECs consists of Evolution Strategies, Evolutionary Programming and Genetic Algorithms (GAs). “GA-like” techniques and GAs were added to the second generation of ECs. The third generation of ECs merged with the addition of Culture Algorithms, DNA-based computing and Particle Swam Optimization. Combining different attributes from all five paradigms Evolutionary Algorithm (EA) becomes a common term. EAs have been successfully applied to a variety of areas. Motion planning is one of these application areas. I will use the hybrid evolutionary motion planning system for mobile robots operating in an unstructured environment as the example of EAs application.

Brief Biography of the Speaker:
Huiming Yu is a professor and Graduate Coordinator of the Computer Science Department at North Carolina A&T State University, USA. She received her Ph.D. degree from Stevens Institute of Technology in USA in 1992. She has twenty-three years of combined teaching and research experience in software engineering, visualization, information assurance and artificial intelligence. Dr. Yu has received more than five million dollars grants from different funding agencies. She has served as a reviewer for several panels of National Science Foundation and National Aeronautics and Space Administration. Dr. Yu has published more than seventy refereed journal and conference papers and one textbook. She has served as a reviewer/session chair/program committee for more than fifteen conferences.