Decisional DNA and Optimization Problem

Edward Szczerbicki; Cesar Sanin

Decisional DNA and Optimization Problem

Abstract

Many researchers have proved that Decisional DNA (DDNA) and Set of Experience Knowledge Structure (SOEKS or SOE) is a technology capable of gathering information and converting it into knowledge to help decision-makers to make precise decisions in many ways. These techniques have a feature to combine with different tools, such as data mining techniques and web crawlers, helping organization collect information from different sources and using gathered knowledge to make decision or prediction. In this paper, our focus is on another research issue, optimization problem. Although there are many algorithms that have been design to solve this problem, it still lacks efficiency and effectiveness to get optimal solutions. Therefore, we propose a new structure combining the SOEKS with an evolutionary algorithm to find optimal solutions and to reuse this experience for efficient decision making support.

Authors (2)

Edward Szczerbicki prof. dr hab. inż.
Cesar Sanin
- School of Engineering Mechanical Engineering

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Keywords

Details

Category:: Monographic publication
Type:: rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:: Knowledge Based Approach to the Design, Control and Decision Support strony 89 - 99
Language:: English
Publication year:: 2013
Bibliographic description:: Szczerbicki E., Sanin C.: Decisional DNA and Optimization Problem// Knowledge Based Approach to the Design, Control and Decision Support/ ed. eds. J. Świątek, L. Borzemski, A. Grzech, Z. Wiliamowska Wroclaw: Ofic yna Wydaw nic za Politec hniki Wroc ławskie j, 2013, s.89-99
Verified by:: Gdańsk University of Technology