We are happy to invite you to the EvoApps 2023 Special Session in
Evolutionary Computation in Edge, Fog and Cloud Computing.
Recent years have witnessed an increasing demand for Edge and Fog computing
paradigms with the emergence of Internet-of-Things (IoT). This special
session aims to solve different problems in the scope of Cloud, Fog, and
Edge computing using EC techniques, covering all different evolutionary
computation paradigms such as Genetic Algorithms (GAs), Genetic Programming
(GP), Evolutionary Programming (EP), Evolution Strategies (ES), Memetic
Algorithms (MAs), Particle Swarm Optimization (PSO), Ant Colony
Optimization (ACO), Differential Evolution (DE), and Evolutionary
Multi-objective Optimization (EMO).
Topics of Interest
- Evolutionary computation for scheduling in Cloud, Fog, and Edge
environments
- Evolutionary computation for resource allocation optimisation
- Evolutionary computation for node discovery and sensor-near processing
in Cloud, Fog, and Edge environments
- Evolutionary computation for pricing mechanisms in Cloud, Fog, and
Edge environments
- Evolutionary computation for management of sustainable energy
consumption
- Evolutionary computation for federated learning applications in Cloud,
Fog, and Edge environments
- Hybrid algorithms between Evolutionary computation, neural networks,
and fuzzy systems for Cloud, Fog, and Edge computing
More information https://www.evostar.org/2023/evoapps/ecefcc/
**** Submission Details ****
Page limit: 16 pages, Springer LNCS format, double-blind reviewing process
Submission link and details: https://www.evostar.org/2023/submit/
**** Important Dates ****
Submission deadline: November 1, 2022 (AoE)
EvoStar: April 12-14, 2023
Brno, Czech Republic
held as part of EvoStar (http://www.evostar.org/2022/
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)
****Organizers****
Diego Oliva
Universidad de Guadalajara, México
diego.oliva (at) cucei.udg.mx
Seyed Jalaleddin Mousavirad
Hakim Sabzevari University, Iran
sj.mousavirad (at) hsu.ac.ir
Mahshid Helali Moghadam
RISE Research Institutes of Sweden, Sweden
mahshid.helali.moghadam(at)ri.se
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