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Artificial intelligences are widely used for engineering problems to solve and obtain valid solutions.
This combined approximation method is mainly used for engineering problems with regions of high stress concentration or in unbounded domains, where singularities are present.
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In order to understand the optimization algorithm used for engineering design problems, some basic definitions and properties of interval analysis are introduced.
Cost-benefit analysis is commonly used for engineering planning and design problems in practice.
The genetic algorithms (GA) are a stochastic search and optimization methods based on the reproduction processes found in biological systems, used for solving engineering problems.
By definition, bio-inspired design uses analogies of biological systems to develop solutions for engineering problems.
Biologically inspired engineering design uses analogies to biological systems to develop solutions for engineering problems.
The accuracy of the identified results is sufficiently satisfactory for engineering problems.
The most common discretization method for peridynamic models used in engineering problems is the node-based meshfree approach.
Although the BEM has been widely used for modeling various engineering problems, analysis of discontinuity problems with this approach has been very limited.
Supercomputers are used for scientific and engineering problems as diverse as climate simulation and automotive design.
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