Advances in Metaheuristics Algorithms is popular PDF and ePub book, written by Erik Cuevas in 2018, it is a fantastic choice for those who relish reading online the Heuristic programming genre. Let's immerse ourselves in this engaging Heuristic programming book by exploring the summary and details provided below. Remember, Advances in Metaheuristics Algorithms can be Read Online from any device for your convenience.
Advances in Metaheuristics Algorithms Book PDF Summary
This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.
Detail Book of Advances in Metaheuristics Algorithms PDF
- Author : Erik Cuevas
- Release : 03 July 2024
- Publisher : Unknown
- ISBN : 3319893106
- Genre : Heuristic programming
- Total Page : 218 pages
- Language : English
- PDF File Size : 11,9 Mb
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