Fuzzy simulated evolution algorithm for multi-objectiveoptimization of VLSI placement

(1999) Fuzzy simulated evolution algorithm for multi-objectiveoptimization of VLSI placement. Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on, 1.

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Abstract

A fuzzy simulated evolution algorithm is presented for multi-objective minimization of VLSI cell placement problem. We propose a fuzzy goal-based search strategy combined with a fuzzy allocation scheme. The allocation scheme tries to minimize multiple objectives and adds controlled randomness as opposed to original deterministic allocation schemes. Experiments with benchmark tests demonstrate a noticeable improvement in solution quality

Item Type: Article
Subjects: Computer
Divisions: College Of Computer Sciences and Engineering > Computer Engineering Dept
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 16:44
Last Modified: 01 Nov 2019 17:06
URI: http://eprints.kfupm.edu.sa/id/eprint/14652