Abstract
Most of the algorithms using the computational techniques have specific objectives, like prediction or diagnosis, based on fixed data structure. In this context, community formation has gained more and more attention from both the researchers and practitioners. We propose a high performance genetic algorithm for community formation. The key concept in our algorithm is a new fitness index, which aims at being the optimal combination between intelligence and cooperation, and allows not only community formation, but also intelligence to be the driving principle in the community formation process.
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