Title
Applications of evolutionary computation : 26th European Conference, EvoApplications 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings / João Correia, Stephen Smith, Raneem Qaddoura, editors.
ISBN
9783031302299 electronic book
303130229X electronic book
9783031302282
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (xx, 817 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-30229-9 doi
Call Number
QA76.618 .E96 2023
Dewey Decimal Classification
006.3/823
Summary
This book constitutes the refereed proceedings of the 25th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of Evo*2023, in April 2023, co-located with the Evo*2023 events EuroGP, EvoCOP, and EvoMUSART. The EuroGP focused on the technique of genetic programming, EvoCOP targeted evolutionary computation in combinatorial optimization, and EvoMUSART was dedicated to evolved and bio-inspired music, sound, art, and design. The EvoApplications 2023 presents papers on the different areas: Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications, Applications of Bio-inspired Techniques on Social Networks, Evolutionary Computation in Edge, Fog, and Cloud Computing, Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition and others.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 12, 2023).
Series
Lecture notes in computer science ; 13989. 1611-3349
Applications of Evolutionary Computation
Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications
Computational Intelligence for Sustainability
Evolutionary Computation in Edge, Fog, and Cloud Computing
Evolutionary Machine Learning
Machine Learning and AI in Digital Healthcare and Personalized Medicine
Resilient Bio-Inspired Algorithms
Soft Computing applied to Games
Surrogate-Assisted Evolutionary Optimisation.