Three level hierarchical decision making model with GA. Issue 6 (29th July 2014)
- Record Type:
- Journal Article
- Title:
- Three level hierarchical decision making model with GA. Issue 6 (29th July 2014)
- Main Title:
- Three level hierarchical decision making model with GA
- Authors:
- Massimiliano Vasile, Dr Edmondo Minisci and Dr Domenico Quagliarella, Professor
D'Amato, Egidio
Daniele, Elia
Mallozzi, Lina
Petrone, Giovanni - Abstract:
- <abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The purpose of this paper is to propose a numerical algorithm able to describe the Stackelberg strategy for a multi level hierarchical three-person game via genetic algorithm (GA) evolution process. There is only one player for each hierarchical level: there is an upper level leader (player L0), an intermediate level leader (player L1) who acts as a follower for L0 and as a leader for the lower level player (player F) that is the sole actual follower of this situation. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – The paper presents a computational result via GA approach. The idea of the Stackelberg-GA is to bring together GAs and Stackelberg strategy in order to process a GA to build the Stackelberg strategy. Any player acting as a follower makes his decision at each step of the evolutionary process, playing a simple optimization problem whose solution is supposed to be unique. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – A GA procedure to compute the Stackelberg equilibrium of the three-level hierarchical problem is given. An application to a Authority-Provider-User (APU) model in the context of wireless networks is discussed. The algorithm convergence is illustrated by means of some test cases. </p> </sec> <sec> <title<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The purpose of this paper is to propose a numerical algorithm able to describe the Stackelberg strategy for a multi level hierarchical three-person game via genetic algorithm (GA) evolution process. There is only one player for each hierarchical level: there is an upper level leader (player L0), an intermediate level leader (player L1) who acts as a follower for L0 and as a leader for the lower level player (player F) that is the sole actual follower of this situation. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – The paper presents a computational result via GA approach. The idea of the Stackelberg-GA is to bring together GAs and Stackelberg strategy in order to process a GA to build the Stackelberg strategy. Any player acting as a follower makes his decision at each step of the evolutionary process, playing a simple optimization problem whose solution is supposed to be unique. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – A GA procedure to compute the Stackelberg equilibrium of the three-level hierarchical problem is given. An application to a Authority-Provider-User (APU) model in the context of wireless networks is discussed. The algorithm convergence is illustrated by means of some test cases. </p> </sec> <sec> <title content-type="abstract-heading">Research limitations/implications</title> <p> – The solution to each level of hierarchy is supposed to be unique. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – The paper demonstrates the possibility of using computational procedures based on GAs in hierarchical three level decision problems extending previous results obtained in the classical two level case.</p> </sec> </abstract> … (more)
- Is Part Of:
- Engineering computations. Volume 31:Issue 6(2014)
- Journal:
- Engineering computations
- Issue:
- Volume 31:Issue 6(2014)
- Issue Display:
- Volume 31, Issue 6 (2014)
- Year:
- 2014
- Volume:
- 31
- Issue:
- 6
- Issue Sort Value:
- 2014-0031-0006-0000
- Page Start:
- 1116
- Page End:
- 1128
- Publication Date:
- 2014-07-29
- Subjects:
- Computer-aided engineering -- Periodicals
Computer graphics -- Periodicals
620.00285 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?id=ec ↗
http://www.emeraldinsight.com/journals.htm?issn=0264-4401 ↗
http://www.emeraldinsight.com/0264-4401.htm ↗
http://www.emeraldinsight.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1108/EC-03-2012-0075 ↗
- Languages:
- English
- ISSNs:
- 0264-4401
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3758.580800
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3190.xml