Combinatorial optimization by stochastic evolution with applications to the physical design of VLSI circuits
Saab, Youssef Georges
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https://hdl.handle.net/2142/19695
Description
Title
Combinatorial optimization by stochastic evolution with applications to the physical design of VLSI circuits
Author(s)
Saab, Youssef Georges
Issue Date
1990
Doctoral Committee Chair(s)
Rao, Vasant B.
Department of Study
Electrical and Computer Engineering
Discipline
Electrical and Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Computer Science
Language
eng
Abstract
In this thesis, a new general adaptive algorithm for solving a wide variety of NP-Complete combinatorial problems is developed. The new technique is called Stochastic Evolution (SE). The SE algorithm is applied to Network Bisection, Vertex Cover, Set Partition, Hamilton Circuit, Traveling Salesman, Linear Ordering, Standard Cell Placement, and Multi-way Circuit Partitioning problems. It is empirically shown that SE out-performs the more established general optimization algorithm, namely, Simulated Annealing.
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