Engineering optimization
Engineering Optimization[1] [2] is the subject which uses optimization techniques to achieve design goals in engineering and applications.[3]
It is also called design optimization. Its topics included structural design (e.g., pressure vessel design, welded beam design), shape optimization or topological optimization (e.g., airfoil), inverse optimization, processing planning, and product designs and others.
The techniques used for solving such optimization problems can classified in three categories: traditional deterministic algorithms, evolutionary algorithms, and metahueristic algorithms. Traditional algorithms such as Hooke-Jeeves pattern search and hill-climbing are widely for simple problems,[4] while evolutionary algorithms/strategies are used for more complex problems. Metaheuristic algorithms are a recent trend, and they are very promising. These algorithms include particle swarm optimization,simulated annealing, cuckoo search, differential evolution, genetic algorithms, harmony search and many others.
References
- ^ S. S. Rao, Engineering Optimization: Theory and Practice, Wiley, (2009)
- ^ X.-S. Yang, Engineering Optimization: An Introduction with Metaheuristic Applications, Wiley, (2010).
- ^ J. N. Siddall, Optimal Engineering Design, CRC Press, (1982).
- ^ P. E. Gill, W. Murray and M. H. Wright, Practical Optimization, Academic Press, London, (1981)