A probabilistic constructive approach to optimization problems

A probabilistic constructive approach to optimization problems (2001)

by Jennifer L. Wong , Farinaz Koushanfar , Seapahn Meguerdichian , Miodrag Potkonjak

Venue:	in ACM/IEEE ICCAD, 2001
Citations:	2 - 2 self

Datum	Value	Source
TITLE	A probabilistic constructive approach to optimization problems	INFERENCE
AUTHOR NAME	Jennifer L. Wong	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science Department, University of California, Los Angeles	SVM HeaderParse 0.2
AUTHOR ADDR	CA 90095	SVM HeaderParse 0.2
AUTHOR NAME	Farinaz Koushanfar	SVM HeaderParse 0.2
AUTHOR NAME	Seapahn Meguerdichian	SVM HeaderParse 0.2
AUTHOR NAME	Miodrag Potkonjak	SVM HeaderParse 0.2
AUTHOR AFFIL	† EECS Department, University of California, Berkeley	SVM HeaderParse 0.2
AUTHOR ADDR	CA 94720	SVM HeaderParse 0.2
ABSTRACT	We propose a new optimization paradigm for solving intractable combinatorial problems. The technique, named Probabilistic Constructive (PC), combines the advantages of both constructive and probabilistic algorithms. The constructive aspect provides relatively short runtime and makes the technique amenable for the inclusion of insights through heuristic rules. The probabilistic nature facilitates a flexible trade-off between runtime and the quality of solution. In addition to presenting the generic technique, we apply it to the Maximal Independent Set problem. Extensive experimentation indicates that the new approach provides very attractive trade-offs between the quality of the solution and runtime, often outperforming the best previously published approaches. 1.	SVM HeaderParse 0.2
YEAR	2001	INFERENCE
VENUE	in ACM/IEEE ICCAD, 2001	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	453--456	INFERENCE
CITATIONS	21 found	ParsCit 1.0