Metaheuristic Algorithms–an Effective Way to Optimize the Behaviour of the Dynamical System

Dear Colleagues,

Nowadays, Automation that integrates Artificial Intelligence techniques is the new paradigm of processes control. A very large number of papers describe applications and theoretical studies that use artificial intelligence techniques for all the aspects that involve nonlinearities or imprecise, incomplete, uncertain knowledge. That is why the Metaheuristic Algorithms (MAs), such as Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, Ant Colony Systems, and many others, are good options to solve optimization problems that involve a big computational complexity.

Smart sensors have onboard capabilities to tackle self-diagnostics, self-identification, and self-adaptation tasks that sometimes involve difficult optimization problems. Optimizing sensor deployment for multi-sensor systems, human activity recognition, data fusion models are also known applications where the MAs can be useful. Lately, the new "structure as a sensor" paradigm can entail multicriteria optimization problems with multimodal objective functions. Structural health monitoring uses a dense array of sensors that can lead to such a problem.

Especially the ability to cope with nonlinearities and the lack of smoothness properties renders the MAs' use an effective and at hand approach. Moreover, the implementation can be made straightforwardly, and a near-optimal solution is always available.

For the confirmed scholars working in this domain, this Special Issue will be a good opportunity to present the different facets of using the MAs: approaches, ideas, new techniques, and applications. In the same time, the lecturers that are newcomers in this framework will have an instructive image concerning the MAs.

This Special Issue is focused more on sensors. Papers focus on Automation may choose our joint Special Issue in Automation (ISSN 2673-4052).

Prof. Dr. Viorel Minzu
Guest Editor

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