Year: 2009
Type: article
Abstract: This work presents the multiple query optimization (MOQ) problem and state of the art optimal solutions for this problem. Then, we design 16 new methods to solve the MQO problem. These proposed methods are executed to solve randomly generated instances of MQO problem. Each method is run on 20 MQO problem instances and their averages are taken to calculate the performance of each method on the same instances. In order to compare the methods we calculate the rank of each method and the method with the best overall average rank is chosen as the best method.
Author: Ahmet Coşar
Institution: Middle East Technical University
Language: Turkish
Subfield: Numerical Analysis
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2276315213