A genetic algorithm for the minimum hitting set

A Statistics-directed Minimal Hitting Set Algorithm ⋆

Generating minimal hitting sets of a collection of sets is known to be NPhard, necessitating heuristic approaches to handle large problems. In this paper a low-cost, approximate minimal hitting set (MHS) algorithm, coined Staccato, is presented. Staccato uses a heuristic function, borrowed from a lightweight, statistics-based software fault localization approach, to guide the MHS search. Given ...

On the Minimum Hitting Set of Bundles Problem

We consider a natural generalization of the classical minimum hitting set problem, the minimum hitting set of bundles problem (mhsb) which is defined as follows. We are given a set E = {e1, e2, . . . , en} of n elements. Each element ei (i = 1, . . . , n) has a non negative cost ci. A bundle b is a subset of E . We are also given a collection S = {S1, S2, . . . , Sm} of m sets of bundles. More ...

A Parallel Approximation Hitting Set Algorithm for Gene Expression Analysis

With the recent DNA-microarray technology, it is possible to measure the expression levels of thousands of genes simultaneously in the same experiment. A genetic network is a model that describes how the expression level of each gene is affected by the expression levels of other genes in the network. Given the results of an experiment with n genes and m measures over time (m << n), we consider ...

the algorithm for solving the inverse numerical range problem

برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.

A minimum data set for chronic venous disease