TY  - CHAP
AU  - Roi Yozevitch
AU  - Boaz Ben-Moshe
ED  - Javier Del Ser Lorente
Y1  - 2017-08-30
PY  - 2017
T1  - Advanced Particle Filter Methods
N2  - In the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes. This augmented complexity has motivated the adoption of heuristic methods as a means to balance the Pareto trade-off between computational efficiency and the quality of the produced solutions to the problem at hand. The momentum gained by heuristics in practical applications spans further towards hyper-heuristics, which allow constructing ensembles of simple heuristics to handle efficiently several problems of a single class. In this context, this short book compiles selected applications of heuristics and hyper-heuristics for combinatorial optimization problems, including scheduling and other assorted application scenarios.
BT  - Heuristics and Hyper-Heuristics
SP  - Ch. 5
UR  - https://doi.org/10.5772/intechopen.69236
DO  - 10.5772/intechopen.69236
SN  - 978-953-51-3384-1
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -