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Track Assignment Algorithm Based on Hybrid Discrete Particle Swarm Optimization
Author(s): 
Pages: 758-770
Year: Issue:  8
Journal: Pattern Recognition and Artificial Intelligence

Keyword:  Track AssignmentVery Large Scale IntegrationDiscrete Particle Swarm OptimizationLocal NetsGenetic Operator;
Abstract: Most of the existing track allocation works neglect the local nets problem, and are prone to fall into the local extremums. Based on discrete particle swarm optimization, genetic operation and negotiation-based refining strategy, a track assignment algorithm is proposed by considering local nets, overlapping conflict, wirelength and blockages. The algorithm abstracts local nets and constructs the corresponding model of segments. To expand population diversity, hybrid genetic operation is incorporated to improve the efficiency of global search. At the same time, a simple and efficient fitness function is designed. Finally, the negotiation-based refining strategy is exploited to further reduce the overlap of segments. The experimental results indicate the effectiveness of the proposed algorithm. The algorithm can obtain better overlapping cost index optimization value and reduce the congestion in the key routing area.
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