Abstract
In many fault detection problems, we want to identify all defective items from a set of n items using the minimum number of tests. Group testing is for the scenario where each test is on a subset of items, and tells whether the subset contains at least one defective item or not. In practice, the number d of defective items is often unknown in advance. In this paper, we propose a randomized group testing procedure RGT for the scenario where the number d of defectives is unknown in advance, and prove that RGT is competitive. By incorporating numerical results, we obtain improved upper bounds on the expected number of tests performed by RGT, for 1 ≤ d≤ 10 6. In particular, for 1 ≤ d≤ 10 6 and the special case where n is a power of 2, we obtain an upper bound of dlognd+Cd+O(logd) with C≈ 2.67 on the expected number of tests performed by RGT, which is better than the currently best upper bound in Cheng et al. (INFORMS J Comput 26(4):677–689, 2014). We conjecture that the above improved upper bounds based on numerical results from 1 ≤ d≤ 10 6 actually hold for all d≥ 1.
| Original language | English |
|---|---|
| Pages (from-to) | 667-683 |
| Number of pages | 17 |
| Journal | Journal of Combinatorial Optimization |
| Volume | 35 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1 Apr 2018 |
Keywords
- Expectation
- Fault detection
- Group testing
- Randomized algorithms
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