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Special Issue "Control and Optimization of Multi-Agent Systems and Complex Networks for Systems Engineering"
Deadline for manuscript submissions: 15 November 2019.
The recent development of technologies, such as personal mobile computing, cloud based computing and ubiquitous internet, has presented new improvement perspectives for digital management in systems engineering. This interdisciplinary branch of engineering overlaps disciplines such as industrial, mechanical, manufacturing, control, software, electrical, and civil engineering. Systems engineering deals with work-processes, optimization methods, and risk management tools related to all these areas. Within a smart environment for system operation and control, there are biological and nature-based processes, such as those that come from epidemiology models, for achieving optimal and automated decision-making in systems engineering. Particularly, compartmental epidemiology models blend areas related to computational methods, multi-agent systems, and complex network analysis that serve as a basis for key developments on the criticality and risk analysis of systems engineering. Agent-based systems such as those based on swarm intelligence (ACO, PSO, ASO, etc.) provide valuable heuristic methodologies to explore optimal solutions for systems engineering in general as well as for network management, operation and design. Swarm intelligence methods have applications on self-healing networks, community detection, and label propagation, among others.
This Special Issue on "Control and Optimization of Multi-Agent Systems and Complex Networks for Systems Engineering" aims to curate novel advances in theoretical developments and applications of biological and nature-inspired multi-agent and network models for systems engineering. Topics include but are not limited to the following:
- Theoretical and practical advances in biological and nature-inspired mathematical models;
- Diffusion processes and dynamics in complex networks;
- Advanced mesoscale models and multi-layer approaches for complex networks analysis;
- Graph-theoretical methods and complex networks applications for risk and resilience analysis in systems engineering;
- Swarm intelligence applications in networked systems;
- Intelligent infrastructure and asset management;
- Approaches and bounded strategies for learning in multi-agent systems at different scales;
- Exploitation, control and optimisation of edge resources via multi-agent systems,
- Multi-agent learning solutions for near-real time decision-making.
Dr. Manuel Herrera
Dr. Marco Pérez-Hernández
Dr. Ajith Kumar Parlikad
Prof. Joaquín Izquierdo
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Please note that for papers submitted after 31 December 2019 an APC of 1400 CHF applies. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- complex networks
- multi-agent systems
- nature-inspired models
- biological models
- systems engineering