|
Learning outcomes |
General objectives: to provide students with knowledge and skills on various optimization techniques, and lead them
to acquire the skills for formulating optimization problems with various restrictions and in different domains,
concerning decision making processes in the engineering area. In addition to traditional optimization techniques,
students will be able to understand and apply bio-inspired metaheuristic techniques applied to solving multi-objective
optimization problems, and to identify the advantages / disadvantages inherent to each technique.
Specific objectives: to identify optimization problems in aeronautical engineering, and to address them in a structured
way; formulate the optimization problem taking into account restrictions and domains; identify conditions of
applicability of each optimization technique; identify the appropriate optimization technique to solve each problem;
develop skills for individual and team work; prepare technical reports.
|
|
Main Bibliography |
01. Gamboa. P.V. (2024), Notes of the curricular unit – Optimization in Engineering (Chapters 1, 5, 6 and 7), ~200 slides, UBI.
02. T. Martins, J.R.R.A., Ning, A. (2021) Engineering Design Optimization.
03. Cottle R, Thapa M (2018) Linear and Nonlinear Optimization, SpringerVerlag.
04. Papageorgiou A, Tarkian M, Amadori K, Ölvander J (2018) Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements, International Journal of Aerospace Engineering.
05. Gandomi H, Talatahari S, Yang X-S, Alavi A (2013) Metaheuristic Applications in Structures and Infrastructures, Elsevier.
06. Yang X-S (2010) Nature-Inspired Metaheuristic Algorithms, Luniver.
07. Watson L (2008) Multidisciplinary Design Optimization. In: Floudas C, Pardalos P Encyclopedia of Optimization. Springer.
08. Engelbrecht A (2007) Computational Intelligence, An Introduction, 2ª ed., John Wiley & Sons.
09. Nocedal J, Wright S (2006) Numerical optimization, Springer.
|