Evolving diverse hardwares using speciated genetic algorithm

Keum Sung Hwang, Sung Bae Cho

Research output: Contribution to conferencePaperpeer-review

9 Citations (Scopus)


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.

Original languageEnglish
Number of pages6
Publication statusPublished - 2002
Event2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States
Duration: 2002 May 122002 May 17


Other2002 Congress on Evolutionary Computation, CEC 2002
Country/TerritoryUnited States
CityHonolulu, HI

All Science Journal Classification (ASJC) codes

  • Software


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