Title :
Bidirectional incremental evolution in extrinsic evolvable hardware
Author :
Kalganova, Tatiana
Author_Institution :
Sch. of Comput., Napier Univ., Edinburgh, UK
Abstract :
Evolvable Hardware (EHW) has been proposed as a new technique to design complex systems. Often, complex systems turn out to be very difficult to evolve. The problem is that a general strategy is too difficult for the evolution process to discover directly. This paper proposes a new approach that performs incremental evolution in two directions: from complex system to sub-systems and from sub-systems back to complex system. In this approach, incremental evolution gradually decomposes a complex problem into some sub-tasks. In a second step, we gradually make the tasks more challenging and general. Our approach automatically discovers the sub-tasks, their sequence as well as circuit layout dimensions. Our method is tested in a digital circuit domain and compared to direct evolution. We show that our bidirectional incremental approach can handle more complex, harder tasks and evolve them more effectively, then direct evolution
Keywords :
circuit layout CAD; genetic algorithms; bidirectional incremental approach; bidirectional incremental evolution; circuit layout dimensions; extrinsic evolvable hardware; Biological cells; Circuit testing; Digital circuits; Hardware; Neural networks; Robots; Stochastic processes;
Conference_Titel :
Evolvable Hardware, 2000. Proceedings. The Second NASA/DoD Workshop on
Conference_Location :
Palo Alto, CA
Print_ISBN :
0-7695-0762-X
DOI :
10.1109/EH.2000.869343