Research Topic

Evolutionary Computation

PART OF IntechOpen Book Series: Artificial Intelligence

ISSN 2633-1403

Research Topic on Evolutionary Computation - always open for submissions, with an Annual Volume published each calendar year with a dedicated ISSN and ISBN.

Led by Topic Editor Dr. Sebastian Ventura Soto and an international Editorial Board, all submissions are peer-reviewed and published immediately after acceptance.

always open for submissions

Scope

Evolutionary computing is a paradigm that has grown dramatically in recent years. This group of bio-inspired metaheuristics solves multiple optimization problems by applying the metaphor of natural selection. It so far has solved problems such as resource allocation, routing, schedule planning, and engineering design. Moreover, in the field of machine learning, evolutionary computation has carved out a significant niche both in the generation of learning models and in the automatic design and optimization of hyperparameters in deep learning models. This collection aims to include quality volumes on various topics related to evolutionary algorithms and, alternatively, other metaheuristics of interest inspired by nature. For example, some of the issues of interest could be the following: Advances in evolutionary computation (Genetic algorithms, Genetic programming, Bio-inspired metaheuristics, Hybrid metaheuristics, Parallel ECs); Applications of evolutionary algorithms (Machine learning and Data Mining with EAs, Search-Based Software Engineering, Scheduling, and Planning Applications, Smart Transport Applications, Applications to Games, Image Analysis, Signal Processing and Pattern Recognition, Applications to Sustainability).

keywords

Genetic Algorithms Genetic Programming Evolutionary Programming Evolution Strategies Hybrid Algorithms Bioinspired Metaheuristics Ant Colony Optimization Evolutionary Learning Hyperparameter Optimization

Topic Editor

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Sebastian Ventura Soto

University of Córdoba, Spain

Part of book series

Artificial Intelligence

Publication details

DOI 10.5772/intechopen.79920

ISSN 2633-1403

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Publish your work in Evolutionary Computation

Open for Submissions

Contribute your work to the Topic Evolutionary Computation, always open for submissions. Your work will be published as part of the Annual Volume 2022, with a dedicated ISSN and ISBN.

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Your work should

  • Be at least 10 pages long
  • Provide a context-setting introduction
  • Have at least one section and subsection
  • Show original research from your field
  • Include references

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Open Access Publication Fee

£850 Chapter - Book Series Topic (Annual Volume)

It’s due only after the Editor accepts your work for publication

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Publishing in IntechOpen Book Series

Always Open for Submissions

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Mexico

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