X Conferencia Internacional de Ingeniería Mecánica
COMEC 2019
Resumen
The development of today’s technology and science led to the increased complexity of products and processes. This enormous complexity has a great impact on suitable design methods. New mathematical models have made it possible to make more complex and detailed description of the reality. The third industrial revolution and the development of computer sciences opened a new window to accelerate the efficiency of optimization methods. The optimization of complex problems in all fields of science requires more and more computing power, which can be reduced by sophisticated algorithms. The fourth industrial revolution means the transformation of conventional production and services into cyber-physical systems, where smart technologies and processes have emerged. The artificial intelligence inside these smart things is mainly created by learning algorithms generally based on heuristics. Within the frame of this paper the development and use of an algorithm tester application
Abstract
The development of today’s technology and science led to the increased complexity of products and processes. This enormous complexity has a great impact on suitable design methods. New mathematical models have made it possible to make more complex and detailed description of the reality. The third industrial revolution and the development of computer sciences opened a new window to accelerate the efficiency of optimization methods. The optimization of complex problems in all fields of science requires more and more computing power, which can be reduced by sophisticated algorithms. The fourth industrial revolution means the transformation of conventional production and services into cyber-physical systems, where smart technologies and processes have emerged. The artificial intelligence inside these smart things is mainly created by learning algorithms generally based on heuristics. Within the frame of this paper the development and use of an algorithm tester application
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