Heuristics and Hyper-Heuristics Principles and Applications

• Other Authors: Del Ser Lorente, Javier (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: IntechOpen 2017
• Subjects: Algorithms & data structures; bioinformatics, evolutionary algorithms, combinatorial optimization, particle filter, localization
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.