Abstract:A constraint satisfaction problem, namely the generation of Balanced Incomplete Block Designs (v b r k )-BIBDs, is casted in terms of function optimization. A family of cost functions that both suit the problem and admit a neural implementation is de ned. An experimental comparison spanning this repertoire of cost functions and three neural relaxation strategies (Down-Hill search, Simulated Annealing and a new Parallel Mean Search procedure), as applied to all BIBDs of up to 1000 entries, has been undertaken. … Show more
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