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A NEW COLLABORATIVE DESIGN METHOD BASED ON INTERACTIVE GENETIC ALGORITHMS

This paper proposes a new collaborative design method based on interactive genetic algorithms. A network collaboration system is developed to make good design solutions among several person at different locations. We have proposed a parallel distributed interactive genetic algorithm, where the total population is divided into several sub-populations. And the different sub-populations is incorporated to maintain the diversity of the solutions. The proposed method uses an IGA and a distributed GA, which combines several IGA systems. In this method, the design solutions are growing on one user’s subjective evaluation, and the migration impedes the premature convergence of the solutions. A new creative design solution or a compromise can be produced among several people with this method. A prototype network collaboration system is developed and it is applied to make good plans for the coloring problem of objects. Keyword: Collaboration System, Interactive Genetic Algorithms, Parallel Distributed GA