Title :
An analysis of the search performance of a mini-population evolutionary algorithm for a robot-locomotion control problem
Author :
Kramer, Gregory R. ; Gallagher, John C.
Author_Institution :
Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
Abstract :
In this paper, the authors present a performance analysis of a mini-population evolutionary algorithm (EA) on a robot-locomotion control problem. The results indicate that the nature of the search space allows for the design of highly efficient search algorithms that could greatly outperform current hardware-amenable techniques. The authors additionally believe that these search characteristics may be inherent in many practical problems, making the results useful for the larger community.
Keywords :
evolutionary computation; robots; search problems; hardware-amenable technique; mini-population evolutionary algorithm; robot-locomotion control problem; search algorithm; search space; Algorithm design and analysis; Computer science; Control systems; Evolutionary computation; Hardware; Orbital robotics; Performance analysis; Remotely operated vehicles; Robot control; Very large scale integration;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1555042