Leveraging saving-based algorithms by master-slave genetic algorithms
Battarra, Maria, Benedettini, Stefano and Roli, Andrea (2011) Leveraging saving-based algorithms by master-slave genetic algorithms. Engineering Applications of Artificial Intelligence, 24, (4), 555-566. (doi:10.1016/j.engappai.2011.01.007).
Download
Full text not available from this repository.
Description/Abstract
Saving-based algorithms are commonly used as inner mechanisms of efficient heuristic construction procedures. We present a general mechanism for enhancing the effectiveness of such heuristics based on a two-level genetic algorithm. The higher-level algorithm searches in the space of possible merge lists which are then used by the lower-level saving-based algorithm to build the solution. We describe the general framework and we illustrate its application to three hard combinatorial problems. Experimental results on three hard combinatorial optimization problems show that the approach is very effective and it enables considerable enhancement of the performance of saving-based algorithms
| Item Type: | Article |
|---|---|
| ISSNs: | 0952-1976 (print) |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Faculty of Social and Human Sciences > Mathematical Sciences > Operational Research |
| Item ID: | 204847 |
| Date Deposited: | 02 Dec 2011 11:36 |
| Last Modified: | 02 Dec 2011 11:36 |
| Contributors: | Battarra, Maria (Author) Benedettini, Stefano (Author) Roli, Andrea (Author) |
| Date: | June 2011 |
| Status: | Published |
| URI: | http://eprints.soton.ac.uk/id/eprint/204847 |
Actions (login required)
 |
View Item |
