Contribution to the development of efficient algorithms for solving complex single-objective and multi-objective optimization models
Optimization has become a major area in process systems engineering. It has evolved from a methodology of academic interest into a technology that has and continues to make significant impact in industry. In this thesis we have focused on development of tools based on two standard optimization metho...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | España |
| Institución: | Universitat Rovira i virgili (URV) |
| Repositorio: | Repositori Institucional de la Universitat Rovira i Virgili |
| OAI Identifier: | oai:urv.cat:TDX:1427 |
| Acceso en línea: | https://hdl.handle.net/20.500.11797/TDX1427 http://hdl.handle.net/10803/284089 |
| Access Level: | acceso abierto |
| Palabra clave: | 66 - Enginyeria, tecnologia i indústria química. Metal·lúrgia 504 - Ciències del medi ambient 004 - Informàtica 0 - Generalitats |
| Sumario: | Optimization has become a major area in process systems engineering. It has evolved from a methodology of academic interest into a technology that has and continues to make significant impact in industry. In this thesis we have focused on development of tools based on two standard optimization methods: mathematical programming and metaheuristics. The objectives of this thesis are: firstly, the development of a hybrid metaheuristic for optimizing the design of supply chains, single objective (cost or benefit), where all parameters are known previously; secondly, the development of an effective algorithm for objective reduction facilitating the resolution of multi-objective problems; and finally, we improved the epsilon-constraint algorithm in multi-objective optimization. All the algorithms presented have been assessed with the methods established in the literature. |
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