Non-linear Goal Programming Using Multi-Objective Genetic Algorithms
dc.contributor.author | Deb, Kalyanmoy | de |
dc.date.accessioned | 2004-12-07T08:20:01Z | |
dc.date.available | 2004-12-07T08:20:01Z | |
dc.date.created | 1999 | de |
dc.date.issued | 2001-10-16 | de |
dc.description.abstract | Goal programming is a technique often used in engineering design activities primarily to find a compromised solution which will simultaneously satisfy a number of design goals. In solving goal programming problems, classical methods reduce the multiple goal-attainment problem into a single objective of minimizing a weighted sum of deviations from goals. Moreover, in tackling non-linear goal programming problems, classical methods use successive linearization techniques, which are sensitive to the chosen starting solution. In this paper, we pose the goal programming problem as a multi-objective optimization problem of minimizing deviations from individual goals. This procedure eliminates the need of having extra constraints needed with classical formulations and also eliminates the need of any user-defined weight factor for each goal. The proposed technique can also solve goal programming problems having nonconvex trade-off region, which are difficult to solve using classical methods. The efficacy of the proposed method is demonstrated by solving a number of non-linear test problems and by solving an engineering design problem. The results suggest that the proposed approach is an unique, effective, and most practical tool for solving goal programming problems. | en |
dc.format.extent | 4584359 bytes | |
dc.format.extent | 4786125 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | application/postscript | |
dc.identifier.uri | http://hdl.handle.net/2003/5369 | |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-14973 | |
dc.language.iso | en | de |
dc.publisher | Universität Dortmund | de |
dc.relation.ispartofseries | Reihe Computational Intelligence ; 60 | de |
dc.subject.ddc | 004 | de |
dc.title | Non-linear Goal Programming Using Multi-Objective Genetic Algorithms | en |
dc.type | Text | de |
dc.type.publicationtype | report | |
dcterms.accessRights | open access |