Loading…
A bilevel game theoretic approach to optimum design of flywheels
Multiobjective optimization problems arise frequently in mechanical design. One approach to solving these types of problems is to use a game theoretic formulation. This article illustrates the application of a bilevel, leader-follower model for solving an optimum design problem. In particular, the o...
Saved in:
Published in: | Engineering optimization 2012-11, Vol.44 (11), p.1337-1350 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c401t-eccd740a8ecd328a4dae286e0ac288f1d17929fa0248d2e3606482a4212973d73 |
---|---|
cites | cdi_FETCH-LOGICAL-c401t-eccd740a8ecd328a4dae286e0ac288f1d17929fa0248d2e3606482a4212973d73 |
container_end_page | 1350 |
container_issue | 11 |
container_start_page | 1337 |
container_title | Engineering optimization |
container_volume | 44 |
creator | Ghotbi, Ehsan Dhingra, Anoop K. |
description | Multiobjective optimization problems arise frequently in mechanical design. One approach to solving these types of problems is to use a game theoretic formulation. This article illustrates the application of a bilevel, leader-follower model for solving an optimum design problem. In particular, the optimization problem is modelled as a Stackelberg game. The partitioning of variables between the leader and follower problem is discussed and a variable partitioning metric is introduced to compare various variable partitions. A computational procedure based on variable updating using sensitivity information is developed for exchanging information between the follower and leader problems. The proposed approach is illustrated through the design of a flywheel. The two objective functions used for the design problem include maximizing the kinetic energy stored in the flywheel while simultaneously minimizing the manufacturing cost. |
doi_str_mv | 10.1080/0305215X.2011.637557 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1080_0305215X_2011_637557</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1283718854</sourcerecordid><originalsourceid>FETCH-LOGICAL-c401t-eccd740a8ecd328a4dae286e0ac288f1d17929fa0248d2e3606482a4212973d73</originalsourceid><addsrcrecordid>eNqFkT1PwzAURS0EEqXwDxgssbCkvGcnsTMBQnxJlVhAYrOM80KDnLjYKaj_nlSFhQGmt5x7dZ8OY8cIMwQNZyChEFg8zwQgzkqpikLtsAmCqDIQSu6yyQbJNsw-O0jpDQAlgJ6wi0v-0nr6IM9fbUd8WFCINLSO2-UyBusWfAg8LIe2W3W8ptS-9jw0vPHrzwWRT4dsr7E-0dH3nbKnm-vHq7ts_nB7f3U5z1wOOGTkXK1ysJpcLYW2eW1J6JLAOqF1gzWqSlSNBZHrWpAsocy1sLlAUSlZKzllp9vecdX7itJgujY58t72FFbJoFKqqlSRy_9RoaVCrUd2yk5-oW9hFfvxEYOIAqTSZTFS-ZZyMaQUqTHL2HY2rg2C2RgwPwbMxoDZGhhj59tY2zchdvYzRF-bwa59iE20vWuTkX82fAGDXIrI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1112037865</pqid></control><display><type>article</type><title>A bilevel game theoretic approach to optimum design of flywheels</title><source>Taylor and Francis Science and Technology Collection</source><creator>Ghotbi, Ehsan ; Dhingra, Anoop K.</creator><creatorcontrib>Ghotbi, Ehsan ; Dhingra, Anoop K.</creatorcontrib><description>Multiobjective optimization problems arise frequently in mechanical design. One approach to solving these types of problems is to use a game theoretic formulation. This article illustrates the application of a bilevel, leader-follower model for solving an optimum design problem. In particular, the optimization problem is modelled as a Stackelberg game. The partitioning of variables between the leader and follower problem is discussed and a variable partitioning metric is introduced to compare various variable partitions. A computational procedure based on variable updating using sensitivity information is developed for exchanging information between the follower and leader problems. The proposed approach is illustrated through the design of a flywheel. The two objective functions used for the design problem include maximizing the kinetic energy stored in the flywheel while simultaneously minimizing the manufacturing cost.</description><identifier>ISSN: 0305-215X</identifier><identifier>EISSN: 1029-0273</identifier><identifier>DOI: 10.1080/0305215X.2011.637557</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>Design engineering ; Design optimization ; Flywheels ; Followers ; Game theory ; Kinetics ; Manufacturing costs ; Mathematical analysis ; Mathematical models ; multiobjective optimization ; Optimization ; Partitioning ; sensitivity analysis ; Variables</subject><ispartof>Engineering optimization, 2012-11, Vol.44 (11), p.1337-1350</ispartof><rights>Copyright Taylor & Francis Group, LLC 2012</rights><rights>Copyright Taylor & Francis Ltd. 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c401t-eccd740a8ecd328a4dae286e0ac288f1d17929fa0248d2e3606482a4212973d73</citedby><cites>FETCH-LOGICAL-c401t-eccd740a8ecd328a4dae286e0ac288f1d17929fa0248d2e3606482a4212973d73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Ghotbi, Ehsan</creatorcontrib><creatorcontrib>Dhingra, Anoop K.</creatorcontrib><title>A bilevel game theoretic approach to optimum design of flywheels</title><title>Engineering optimization</title><description>Multiobjective optimization problems arise frequently in mechanical design. One approach to solving these types of problems is to use a game theoretic formulation. This article illustrates the application of a bilevel, leader-follower model for solving an optimum design problem. In particular, the optimization problem is modelled as a Stackelberg game. The partitioning of variables between the leader and follower problem is discussed and a variable partitioning metric is introduced to compare various variable partitions. A computational procedure based on variable updating using sensitivity information is developed for exchanging information between the follower and leader problems. The proposed approach is illustrated through the design of a flywheel. The two objective functions used for the design problem include maximizing the kinetic energy stored in the flywheel while simultaneously minimizing the manufacturing cost.</description><subject>Design engineering</subject><subject>Design optimization</subject><subject>Flywheels</subject><subject>Followers</subject><subject>Game theory</subject><subject>Kinetics</subject><subject>Manufacturing costs</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>multiobjective optimization</subject><subject>Optimization</subject><subject>Partitioning</subject><subject>sensitivity analysis</subject><subject>Variables</subject><issn>0305-215X</issn><issn>1029-0273</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkT1PwzAURS0EEqXwDxgssbCkvGcnsTMBQnxJlVhAYrOM80KDnLjYKaj_nlSFhQGmt5x7dZ8OY8cIMwQNZyChEFg8zwQgzkqpikLtsAmCqDIQSu6yyQbJNsw-O0jpDQAlgJ6wi0v-0nr6IM9fbUd8WFCINLSO2-UyBusWfAg8LIe2W3W8ptS-9jw0vPHrzwWRT4dsr7E-0dH3nbKnm-vHq7ts_nB7f3U5z1wOOGTkXK1ysJpcLYW2eW1J6JLAOqF1gzWqSlSNBZHrWpAsocy1sLlAUSlZKzllp9vecdX7itJgujY58t72FFbJoFKqqlSRy_9RoaVCrUd2yk5-oW9hFfvxEYOIAqTSZTFS-ZZyMaQUqTHL2HY2rg2C2RgwPwbMxoDZGhhj59tY2zchdvYzRF-bwa59iE20vWuTkX82fAGDXIrI</recordid><startdate>20121101</startdate><enddate>20121101</enddate><creator>Ghotbi, Ehsan</creator><creator>Dhingra, Anoop K.</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20121101</creationdate><title>A bilevel game theoretic approach to optimum design of flywheels</title><author>Ghotbi, Ehsan ; Dhingra, Anoop K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c401t-eccd740a8ecd328a4dae286e0ac288f1d17929fa0248d2e3606482a4212973d73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Design engineering</topic><topic>Design optimization</topic><topic>Flywheels</topic><topic>Followers</topic><topic>Game theory</topic><topic>Kinetics</topic><topic>Manufacturing costs</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>multiobjective optimization</topic><topic>Optimization</topic><topic>Partitioning</topic><topic>sensitivity analysis</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghotbi, Ehsan</creatorcontrib><creatorcontrib>Dhingra, Anoop K.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Engineering optimization</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghotbi, Ehsan</au><au>Dhingra, Anoop K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A bilevel game theoretic approach to optimum design of flywheels</atitle><jtitle>Engineering optimization</jtitle><date>2012-11-01</date><risdate>2012</risdate><volume>44</volume><issue>11</issue><spage>1337</spage><epage>1350</epage><pages>1337-1350</pages><issn>0305-215X</issn><eissn>1029-0273</eissn><abstract>Multiobjective optimization problems arise frequently in mechanical design. One approach to solving these types of problems is to use a game theoretic formulation. This article illustrates the application of a bilevel, leader-follower model for solving an optimum design problem. In particular, the optimization problem is modelled as a Stackelberg game. The partitioning of variables between the leader and follower problem is discussed and a variable partitioning metric is introduced to compare various variable partitions. A computational procedure based on variable updating using sensitivity information is developed for exchanging information between the follower and leader problems. The proposed approach is illustrated through the design of a flywheel. The two objective functions used for the design problem include maximizing the kinetic energy stored in the flywheel while simultaneously minimizing the manufacturing cost.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/0305215X.2011.637557</doi><tpages>14</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0305-215X |
ispartof | Engineering optimization, 2012-11, Vol.44 (11), p.1337-1350 |
issn | 0305-215X 1029-0273 |
language | eng |
recordid | cdi_crossref_primary_10_1080_0305215X_2011_637557 |
source | Taylor and Francis Science and Technology Collection |
subjects | Design engineering Design optimization Flywheels Followers Game theory Kinetics Manufacturing costs Mathematical analysis Mathematical models multiobjective optimization Optimization Partitioning sensitivity analysis Variables |
title | A bilevel game theoretic approach to optimum design of flywheels |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T06%3A40%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20bilevel%20game%20theoretic%20approach%20to%20optimum%20design%20of%20flywheels&rft.jtitle=Engineering%20optimization&rft.au=Ghotbi,%20Ehsan&rft.date=2012-11-01&rft.volume=44&rft.issue=11&rft.spage=1337&rft.epage=1350&rft.pages=1337-1350&rft.issn=0305-215X&rft.eissn=1029-0273&rft_id=info:doi/10.1080/0305215X.2011.637557&rft_dat=%3Cproquest_cross%3E1283718854%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c401t-eccd740a8ecd328a4dae286e0ac288f1d17929fa0248d2e3606482a4212973d73%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1112037865&rft_id=info:pmid/&rfr_iscdi=true |