Add to ORKGIn this paper we present the system of relational data warehouse optimization. The system is based on generalized definition of solution space which includes lot of factors relevant for performance of the relational data warehouses. Novelties are hybrid Greedy- Genetic algorithms applied to generalized solution space and specific techniques for improvement of the efficiency of optimization process. Experimental results shows that our algorithms outperforms traditional Genetic algorithms in the speed of finding optimal (or near optimal) solutions. Key words
An intelligent manufacturing system is intended to produce one or more subjects that it is designed ...
Abstract In today's customer-centric business environment, a firm's ability to allocate it...
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As far as we know, in the open scientific literature, there is no generalized framework for the opti...
Abstract. A data warehouse stores huge amounts of data collected from multiple sources and enables u...
Abstract:- On-line analytical processing (OLAP) queries are strongly affected by the amount data nee...
Data warehouses store large amounts of data usually accessed by complex decision making queries with...
Database query optimization is a hard research problem. Exhaustive techniques are adequate for trivi...
The paper analyses the issues behind allocation and reordering strategies optimization for an existi...
As a promising object-oriented reuse technology, frameworks have been attracting enough attention. H...
This paper explores the use of a genetic algorithm (GA) to optimise item allocation in a warehouse, ...
Formulation of efficient assessment is important for the businesses, because its retrieve lot of det...
The multi-objective optimization of automated warehouse is discussed and evaluated in present paper....
Abstract:- On-line analytical processing (OLAP) queries are strongly affected by the amount data nee...
Les entrepôts de données permettent le stockage et la consolidation, en une seule localité, d'une qu...
An intelligent manufacturing system is intended to produce one or more subjects that it is designed ...
Abstract In today's customer-centric business environment, a firm's ability to allocate it...
With the explosion of the size of data warehousing applications, the horizontal data partitioning is...
As far as we know, in the open scientific literature, there is no generalized framework for the opti...
Abstract. A data warehouse stores huge amounts of data collected from multiple sources and enables u...
Abstract:- On-line analytical processing (OLAP) queries are strongly affected by the amount data nee...
Data warehouses store large amounts of data usually accessed by complex decision making queries with...
Database query optimization is a hard research problem. Exhaustive techniques are adequate for trivi...
The paper analyses the issues behind allocation and reordering strategies optimization for an existi...
As a promising object-oriented reuse technology, frameworks have been attracting enough attention. H...
This paper explores the use of a genetic algorithm (GA) to optimise item allocation in a warehouse, ...
Formulation of efficient assessment is important for the businesses, because its retrieve lot of det...
The multi-objective optimization of automated warehouse is discussed and evaluated in present paper....
Abstract:- On-line analytical processing (OLAP) queries are strongly affected by the amount data nee...
Les entrepôts de données permettent le stockage et la consolidation, en une seule localité, d'une qu...
An intelligent manufacturing system is intended to produce one or more subjects that it is designed ...
Abstract In today's customer-centric business environment, a firm's ability to allocate it...
With the explosion of the size of data warehousing applications, the horizontal data partitioning is...