This paper studies the classical dictionary problem using a self-adjusting linear list. We designed and analyzed randomized, on-line algorithms for a sequence of successful and unsuccessful searches which are competitive with off-line algorithms. Our algorithms combined the ps bit technique which speeds up unsuccessful search with the randomized move-to-front scheme of Reingold et al., which they used to speed up successful search.link_to_subscribed_fulltex
Suboptimal search algorithms offer shorter solving times by sacrificing guaranteed solution optimali...
The use of randomness in local search is a widespread technique applied to improve algorithm perform...
Three recent random search algorithms are compared on the basis of efficiency, and on the basis of s...
This paper introduces a general technique for speeding up unsuccessful search using very little extr...
In (Hui and Martel, 1993), we designed and analyzed efficient self-adjusting linear list algorithms....
The standard string matching problem involves finding all occurrences of a single pattern in a singl...
AbstractWe describe a novel parallel randomized search algorithm for two-player games. The algorithm...
Unpredictability in the running time of complete search procedures can often be explained by the phe...
Abstract: To Design efficient search algorithms is a key challenge in decentralized peer-to-peer net...
Controlled Random Search (CRS) is a simple population based algorithm which despite its attractivene...
AbstractThis paper proposes the utilization of randomized backtracking within complete backtrack sea...
Conventional random search techniques take a lot of time to reach optimum-like solutions. Thus, rand...
We study the efficiency of randomised solutions to the mutual search problem of finding k agents dis...
Heuristic search remains a leading approach to difficult combinatorial optimization problems. Search...
In this survey, we discuss two randomized online algorithms for the list access problem. First, we r...
Suboptimal search algorithms offer shorter solving times by sacrificing guaranteed solution optimali...
The use of randomness in local search is a widespread technique applied to improve algorithm perform...
Three recent random search algorithms are compared on the basis of efficiency, and on the basis of s...
This paper introduces a general technique for speeding up unsuccessful search using very little extr...
In (Hui and Martel, 1993), we designed and analyzed efficient self-adjusting linear list algorithms....
The standard string matching problem involves finding all occurrences of a single pattern in a singl...
AbstractWe describe a novel parallel randomized search algorithm for two-player games. The algorithm...
Unpredictability in the running time of complete search procedures can often be explained by the phe...
Abstract: To Design efficient search algorithms is a key challenge in decentralized peer-to-peer net...
Controlled Random Search (CRS) is a simple population based algorithm which despite its attractivene...
AbstractThis paper proposes the utilization of randomized backtracking within complete backtrack sea...
Conventional random search techniques take a lot of time to reach optimum-like solutions. Thus, rand...
We study the efficiency of randomised solutions to the mutual search problem of finding k agents dis...
Heuristic search remains a leading approach to difficult combinatorial optimization problems. Search...
In this survey, we discuss two randomized online algorithms for the list access problem. First, we r...
Suboptimal search algorithms offer shorter solving times by sacrificing guaranteed solution optimali...
The use of randomness in local search is a widespread technique applied to improve algorithm perform...
Three recent random search algorithms are compared on the basis of efficiency, and on the basis of s...