Evolvable hardware (EHW) has become an attractive topic recently because such hardware can reconfigure itself to adapt to the environment it is embedded in. EHW uses a genetic algorithm (GA), which is one of the evolutionary algorithms, to search for the goal hardware. In this paper, we propose EHW using a speciated GA that can evolve diverse circuits with single-step evolution. The speciation algorithm helps to find diverse solutions as the result of the evolution, and maintains the diversity during the evolution. We have applied a fitness-sharing method for speciation to the EHW of a 6-multiplexer, and have obtained diverse hardware structures. Also, we have found a circuit in 35% less generations than we did with a conventional genetic algorithm.
|Number of pages||6|
|Publication status||Published - 2002 Jan 1|
|Event||2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States|
Duration: 2002 May 12 → 2002 May 17
|Other||2002 Congress on Evolutionary Computation, CEC 2002|
|Period||02/5/12 → 02/5/17|
All Science Journal Classification (ASJC) codes