Evolutionary Computation as a Form of Organization

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The Free Knowledge Exchange (FKE) project intro-
duces the concept of evolutionary knowledge manage-
ment based on concepts of GA. It used a human-based
genetic algorithm (HBGA) for the task of collabora-
tive solving of problems expressed in natural language
(Kosoruko , 2000a). It was created in 1997 for a small
organization with the goal of promoting success of
each member through new forms of cooperation based
on better knowledge management.

Human genetic based algorithms pave the way for evolutionary self organizing architectures. These architectures can be social, political, economic, or physical.

The idea is that user preferences are tracked in real time by the architecture itself. The architecture then uses this feedback to continuously evolve the organization.

The idea of human interaction came from interac-
tive genetic algorithms (IGA) that introduced hu-
man evaluation interfaces in evolutionary computa-
tion. Human-based genetic algorithm (HBGA) used
in FKE is basically an IGA combined with human-
based innovation interfaces (crossover and mutation).

The concept of Evolutionary Computation as a Form of Organization will be discussed in future postings within the context of how a distributed autonomous virtual state can utilize evolutionary computation to become a self optimizing system.


Coello, C. A. C. (2010). List of references on constraint-handling techniques used with evolutionary algorithms. Power, 80(10), 1286-1292.
Kosorukoff, A., & Goldberg, D. E. (2002, July). Evolutionary Computation As A Form Of Organization. In GECCO (Vol. 2002, pp. 965-972).


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