This article proposes a new population-based stochastic search algorithm called evolutionary diffusion optimization (EDO) inspired by diffusion in nature. Each entity in EDO makes the decision to diffuse based on the information shared between its parent and its siblings. The behavior of EDO when solving a typical optimization problem is also discussed.
|Number of pages||6|
|Publication status||Published - 2002|
|Event||2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States|
Duration: 12 May 2002 → 17 May 2002
|Conference||2002 Congress on Evolutionary Computation, CEC 2002|
|Period||12/05/02 → 17/05/02|
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