[DMANET] [cfp] Special Issue on Entropy in Metaheuristics and Bioinspired Algorithms, MDPI

Special Issue on Entropy in Metaheuristics and Bioinspired Algorithms
Journal of Entropy (ISSN 1099-4300). IF = 2.419 (JCR 2018)
DEADLINE 30 September 2020

Dear Colleagues,
Metaheuristics and bioinspired algorithms are used in different fields of
science and technology. They are important optimization tools that commonly
are based on populations to explore the solutions to complex problems.
Different methods are also used for the classification of approximation
using different learning rules extracted from nature.

Entropy is a powerful tool that has changed the analysis of information.
The use of entropy has been extended in metaheuristics and bioinspired
algorithms from measuring uncertainty to helping to explore and exploit
search spaces in optimization. Different kinds of entropy are used
depending on what is required. Moreover, in the information era, it is
necessary to use metaheuristics and bioinspired methods to provide accurate
solutions to complex problems. Hybrid algorithms are also important; they
merge skills from different approaches and make decisions based on
different rules to accurately explore the possible solutions.

Since the fields of metaheuristics and bioinspired algorithms are
constantly growing, it is complicated to follow all the branches where they
are combined with entropy. Considering the above, this Special Issue aims
to present the latest advances in metaheuristics and bioinspired algorithms
that employ or solve problems where entropy is included. It also seeks to
include literature reviews and surveys on related topics.

Dr. Diego Oliva
Dr. Salvador Miguel Hinojosa Cervantes
Guest Editors

--
Dr. Diego Oliva
diegoliva.com <http://www,diegoliva.com>

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