Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authorsa recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.This chapter presents an optimization toolbox that is built upon the MOEA algorithm (Tan et al. 1999b) as described in Chapter 4. The MOEA toolbox is ready for immediate use with minimal knowledge needed in Matlab or evolutionary computing. It is frilly ... as the software environment for the MOEA toolbox implementation due to the following reasons (Houck et al. ... to the Matlab environment; (5) it is capable of generating optimized code for embedded systems, rapid prototyping, andanbsp;...
|Title||:||Multiobjective Evolutionary Algorithms and Applications|
|Author||:||Kay Chen Tan, Eik Fun Khor, Tong Heng Lee|
|Publisher||:||Springer Science & Business Media - 2006-02-18|