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A hybrid multi-objective PSO algorithm with local search strategy for VLSI partitioning

Content Provider	Springer Nature Link
Author	Guo, Wenzhong Liu, Genggeng Chen, Guolong Peng, Shaojun
Copyright Year	2014
Abstract	Very large scale integration (VLSI) circuit partitioning is an important problem in design automation of VLSI chips and multichip systems; it is an NP-hard combinational optimization problem. In this paper, an effective hybrid multi-objective partitioning algorithm, based on discrete particle swarm optimzation (DPSO) with local search strategy, called MDPSO-LS, is presented to solve the VLSI twoway partitioning with simultaneous cutsize and circuit delay minimization. Inspired by the physics of genetic algorithm, uniform crossover and random two-point exchange operators are designed to avoid the case of generating infeasible solutions. Furthermore, the phenotype sharing function of the objective space is applied to circuit partitioning to obtain a better approximation of a true Pareto front, and the theorem of Markov chains is used to prove global convergence. To improve the ability of local exploration, Fiduccia-Matteyses (FM) strategy is also applied to further improve the cutsize of each particle, and a local search strategy for improving circuit delay objective is also designed. Experiments on ISCAS89 benchmark circuits show that the proposed algorithm is efficient.
Starting Page	203
Ending Page	216
Page Count	14
File Format	PDF
ISSN	20952228
Journal	Frontiers of Computer Science in China
Volume Number	8
Issue Number	2
e-ISSN	20952236
Language	English
Publisher	Higher Education Press
Publisher Date	2014-02-20
Publisher Institution	Chinese Universities
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	VLSI physical design circuit partitioning particle swarm optimization Computer Science
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computer Science

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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