Novel Design and Optimization Techniques for Thermal Actuators

Dear Colleagues,

The search for desirable features related to geometry, boundary conditions and material properties plays a crucial role in the design of modern systems based on thermal actuators. Meeting increasingly demanding quality criteria along with the imposed multiple constraints of various types requires the use of effective and efficient optimization methods. This includes both tasks in which the optimal properties of actuators are searching, as well as tasks in which the features and characteristics of these systems are identified. Formulating and satisfying multiple criteria simultaneously leads to the need for multi-criteria optimization methods. The multimodality of both optimization and identification functions makes it necessary to use algorithms resistant to finding local minima. For this reason, the use of modern bio-inspired optimization methods is particularly appropriate in this case. This is particularly relevant for such algorithms as: genetic and evolutionary algorithms, artificial immune systems, hybrid and memetic optimization methods, particle swarm optimizers, and others metaheuristics. Papers devoted to the application of the above mentioned methods in both theoretical aspects, numerical simulations and experimental studies are welcome. Preference will be given to studies with solid and rigorous experimental validation on hardware.

The application of modern optimization and identification techniques based on bio-inspired algorithms for the optimal design and identification of selected characteristics of thermal actuators is entirely within the scope of “Actuators”.

Dr. Adam Długosz
Guest Editor

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• thermal actuators
• bio-inspired optimization algorithms
• multiobjective optimization
• boundary condition identification
• shape optimization
• topology optimization