Kosorukoff, A.
Illinois Genetic Algorithms Lab., Urbana, IL;
This paper appears in: Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Publication Date: 2001
Volume: 5,
On page(s): 3464-3469 vol.5
Meeting Date: 10/07/2001 - 10/10/2001
Location: Tucson, AZ, USA
ISBN: 0-7803-7087-2
References Cited: 9
INSPEC Accession Number: 7162685
Digital Object Identifier: 10.1109/ICSMC.2001.972056
Posted online: 2002-08-06 23:53:07.0
Abstract
A new class of genetic algorithms (GA) is presented. It is based
on the idea of outsourcing, a popular trend in business. In a human
based genetic algorithm (HBGA), all primary genetic operators are
outsourced, i.e. delegated to external human agents. A totally
outsourced genetic algorithm uses both human evaluation and the human
ability of innovation. It is a multi-agent environment and the mediator
of communication between multiple heterogenous agents. The advantage of
this approach is its ability to address complex problems for which it is
hard, not only to evaluate individuals, but to find a good
representation for them. These qualities allow HBGA to process flows of
information without knowledge of its particular structure and
representation. The suggested conceptual approach can also be used as a
general model and a way of thinking about different kinds of genetic
algorithms
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