Title
Tight Bounds for Blind Search on the Integers
Abstract
We analyze a simple random process in which a token is moved in the interval A = {0, . . . , n}: Fix a probability distribution mu over {1, . . . , n}. Initially, the token is placed in a random position in A. In round t, a random value d is chosen according to p. If the token is in position a >= d, then it is moved to position a - d. Otherwise it stays put. Let T be the number of rounds until the token reaches position 0. We show tight bounds for the expectation of T for the optimal distribution mu. More precisely, we show that min(mu){E-mu(T)} = circle minus ((log n)(2)). For the proof, a novel potential function argument is introduced. The research is motivated by the problem of approximating the minimum of a continuous function over [0, 1] with a "blind" optimization strategy.
Year
Venue
Keywords
2008
STACS 2008: PROCEEDINGS OF THE 25TH INTERNATIONAL SYMPOSIUM ON THEORETICAL ASPECTS OF COMPUTER SCIENCE
random process,evolutionary algorithms,probability distribution,computational complexity,data structure
DocType
Volume
ISSN
Journal
abs/0802.2852
Dans Proceedings of the 25th Annual Symposium on the Theoretical Aspects of Computer Science - STACS 2008, Bordeaux : France (2008)
Citations 
PageRank 
References 
9
0.57
4
Authors
4
Name
Order
Citations
PageRank
Martin Dietzfelbinger1999115.12
Jonathan E. Rowe245856.35
Ingo Wegener32663210.34
Philipp Woelfel443238.40