Abstract A large number of problems in engineering, science and management can be formulated as global optimization problem [19, 147]. Unfortunately, global optimization problems are very difficult to solve. In order to understand the difficulties it is important to note that all local optimization techniques can at most locate a local minimum. Moreover, there is no local criterion to decide whether a local solution is also the global solution. Furthermore, locally optimal solutions often prove insufficient for real-world engineering problems [41]. Therefore, conventional optimization methods that make use of derivatives, gradients and the like are, in general, not able to locate or identify the global optimum.
Evolutionary Algorithms: Revisited
2004-01-01
19 pages
Article/Chapter (Book)
Electronic Resource
English
Evolutionary algorithms in aircraft trim optimization
Tema Archive | 2008
|Two aerospace applications of evolutionary algorithms
British Library Conference Proceedings | 2000
|Robust Compressor Optimization by Evolutionary Algorithms
Springer Verlag | 2018
|Automated Antenna Design with Evolutionary Algorithms
AIAA | 2006
|