@inbook{7e71d25ad2ce49388c30019a40f5e7fc,
title = "Hybrid metaheuristic algorithms: Past, present, and future",
abstract = "Hybrid algorithms play a prominent role in improving the search capability of algorithms. Hybridization aims to combine the advantages of each algorithm to form a hybrid algorithm, while simultaneously trying to minimize any substantial disadvantage. In general, the outcome of hybridization can usually make some improvements in terms of either computational speed or accuracy. This chapter surveys recent advances in the area of hybridizing different algorithms. Based on this survey, some crucial recommendations are suggested for further development of hybrid algorithms.",
keywords = "Bio-inspired, Diversity, Evolutionary algorithms, Hybrid algorithms, Metaheuristics, Nature-inspired algorithms",
author = "Ting, {T. O.} and Yang, {Xin She} and Shi Cheng and Kaizhu Huang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.",
year = "2015",
doi = "10.1007/978-3-319-13826-8_4",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Verlag",
pages = "71--83",
booktitle = "Studies in Computational Intelligence",
}