Abstract
Systems engineering crosses multiple engineering disciplines for the design, control, and overall management of engineered systems [...]
Highlights
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Advancements in systems engineering are directly related to the latest disruptive technology developments, ranging from the Internet of Things (IoT) and cyber-physical systems to the creation of digital twins
This Special Issue, “Control and Optimization of Multi-Agent Systems and Complex Networks for Systems Engineering”, can be viewed as a significant contribution to the systems engineering literature since it curates novel advances in theoretical developments and applications of biological and nature-inspired multi-agent and network models for industrial and engineering applications [1]. This Special Issue is timely since it comes as a methodological counterpart to the surge in disruptive technologies—such as cyber-physical systems, digital twins, and blockchain—for the operation, management and control of industrial and engineering systems processes
Summary
This Special Issue contains 11 papers which focus on some of the mentioned paradigms on MAS and complex networks for systems engineering. Central to this collection is a literature review on multi-agent systems and complex networks for engineering systems and processes [1]. The work of Meirelles et al [2] focuses more on a theoretical aspect of systems and optimization. They present a novel swarm optimization procedure named “grand tour algorithm” (GTA), based on a cyclist peloton (similar in some respects to other swarms such as birds flying in formation). The rest of the papers of this Special Issue can be classified into three key areas: (i) infrastructure management [3,4]; (ii) manufacturing and industrial processes [5,6,7,8]; and (iii) energy production processes [9,10,11]
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