Special issues

Two special issues of Journals

A special issue of the journal Algorithms on the topic: Parallel / Distributed Combinatorics and Optimization will be  dedicated to the IEEE Workshop PDCO 2022.

Algorithms (ISSN 1999-4893; CODEN: ALGOCH) is a peer-reviewed open-access journal indexed by Emerging Sources Citation Index (ESCI), EI, Scopus, and MathSciNet.
The European Society for Fuzzy Logic and Technology (EUSFLAT) is affiliated with Algorithms.

Special Issue on: “Parallel / Distributed Combinatorics and Optimization”

Submit a paper to special issue (submission open)

Description

The recent advances in parallel computing capacities, e.g., multi-core and many-core processors, nowadays allow to tackle large-scale complex optimization problems.However, novel parallel / distributed optimization paradigms have to be designed and new implementations provided in order to fully exploit such novel and possibly heterogenous computing environments. These new solvers target different conflicting objectives such as obtaining high-quality solutions while minimizing computing time or energy usage.
The goal of this special issue is to gather the most important contemporary developments and designs in parallel and distributed combinatorics, as well as optimization methods for solving difficult optimization problems.

 Topics of interests include (but are not limited to):

  • Global optimization, combinatorial optimization, multi-objective optimization, dynamic optimization;
  • Computational intelligence methods (e.g., evolutionary algorithms, swarm intelligence, ant colonies, cellular automata, DNA and molecular computing)
  • Cooperative / competitive methods
  • Hybrid algorithms
  • Peer-to peer computing and optimization problems
  • Real world applications: e.g., cloud computing, planning, logistics, manufacturing, finance, telecommunications

The organization of this special issue is linked to the 12th IEEE Workshop Parallel / Distributed Combinatorics and Optimization (PDCO 2022), that will be take place together with the 36th IEEE International Parallel and Distributed Symposium (IPDPS 2022) in Lyon, France, May-June 2022. The most outstanding papers from the workshop will be considered for possible publication in the special issue, after a peer review process.

The special issue is open to any submissions, and not restricted to papers from the PDCO workshop.

Important Dates

- Full Paper Regular Submission Due: October 15th, 2022
- Notification of Results: December 15th, 2022
- Revisions Due: February 15th, 2023
- Notifications of Final Acceptance: May 15th, 2023
- Submissions of Final Revised Papers: June 15th, 2023
- Publication date:  4th quarter of 2023

Guest Editor(s) contact details
- Grégoire Danoy University of Luxembourg, Luxembourg

gregoire.danoy@uni.lu
- Didier El Baz, team CDA, LAAS-CNRS, France
elbaz@laas.fr

 

 A special issue of the journal: Mathematical Biosciences and Engineering on the topic:
Intelligent Data-Centric Systems
will also be associated to the IEEE Workshop PDCO 2022.

Manuscript Topics

Data-centric software systems support the communication, processing and analysis of large, heterogeneous data volumes and flows in many modern application scenarios. For example, cyber-physical systems need to deal with enormous volumes of data that are generated continuously in the scope of the Internet of Things, still they need to work efficiently, and they must be scalable, reliable and trustworthy at all times. The ability to handle lakes and streams of data in order to turn them into informed decisions can lead to great competitive advantages for companies and administrations alike, as well as improve the quality of life for the citizens of information society. Such abilities can be seen in biological systems based on the intelligence of living beings but the functioning has yet to be fully understood and transferred for technical utilization. In particular, the question is how to support data-centric software systems with artificial intelligence, e.g. by means of learning and recognizing patterns from large amounts of complex or unstructured data. Furthermore, the basic mechanisms of intelligent behavior might be combined with and improved by complementary techniques like federation and transfer of learning as well as contextualization of the data. The inherent complexity of resulting approaches together with the strict qualitative requirements of sensitive application areas are calling for solid formal methods with sound mathematical foundations. Subsequently, this special issue focuses on novel approaches for large scale data management and engineering that are based on a bio-inspired notion of intelligence as well as their formal foundations.

The areas of interest include, but are not limited, to:

● Formal models and methods of intelligent data processing

● Bio-inspired intelligent algorithms for data-centric systems

● Technologies for data-driven decision making

● Smart Internet of Things and cyber-physical intelligence

● Intelligent cloud, edge and fog computing

● Data processing for smart devices

● Data-centric communication protocols

● Context-aware data sharing

● Applications of novel intelligent data-centric systems

Instructions for authors

https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors

Please submit your manuscript to online submission system:

http://oeps.aimspress.com/mbe/ch/author/login.aspx

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 30 September 2022.

 


 

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