Contribution to the development of efficient algorithms for solving complex single-objective and multi-objective optimization models

Identificador:  TDX:1427

Handle: https://hdl.handle.net/20.500.11797/TDX1427

Autores:  Copado Méndez, Pedro Jesús

Resumen:
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.