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author:

Chen, Z. (Chen, Z..) [1] | Chen, J. (Chen, J..) [2] | Guo, W. (Guo, W..) [3] | Chen, G. (Chen, G..) [4]

Indexed by:

Scopus

Abstract:

Floorplanning is a key step in the physical design of Very Large Scale Integrated (VLSI) circuits. It is a multi-objective combinatorial optimization and has been proved to be a NP-hard problem. To solve this problem, a coevolutionary multi-objective particle swarm optimization (CMOPSO) algorithm is proposed in this paper. The algorithm imports the concept of coevolutionary algorithm and elitist strategy into basic PSO algorithm, takes both the layout area and total interconnection wire length into consideration simultaneously. Experimental results showed the new algorithm can achieve a better performance. © 2012 IEEE.

Keyword:

coevolution; floorplan; multi-objective optimization; particle swarm optimization; very large scale integrated circuits

Community:

  • [ 1 ] [Chen, Z.]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Chen, J.]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 3 ] [Guo, W.]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 4 ] [Chen, G.]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China

Reprint 's Address:

  • [Chen, G.]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China

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Source :

Proceedings - International Conference on Natural Computation

ISSN: 2157-9555

Year: 2012

Page: 718-722

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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