A genetic algorithm for task distribution
T. Drabe, W. Bressgott · 2002
A genetic algorithm is presented to assemble tasks to clusters which are performed by neural network modules. Simulations on letter recognition are compared to those obtained by a monolithic network and by a modular architecture with randomly composed clusters. The proposed method proves superior in terms of final convergence speed, generalization and completeness of solutions.