Abstract
The chapter presents a general view of parallel metaheuristics for optimization. It recalls the main concepts and strategies in designing parallel metaheuristics and identifies trends and promising research directions. The focus is on cooperation-based strategies, which display remarkable performances, in particular strategies based on asynchronous exchanges and the creation of new information out of exchanged data to enhance the global guidance of the search.
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CITATION STYLE
Crainic, T. G. (2019). Parallel metaheuristics and cooperative search. In International Series in Operations Research and Management Science (Vol. 272, pp. 419–451). Springer New York LLC. https://doi.org/10.1007/978-3-319-91086-4_13
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