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On applications, problems like inverted birth dates and misspelled last names made problems snowball.
In bioengineering applications problems of flow interacting with elastic solid are very common.
Although ACO seems to be effective for global optimization, only few ACO algorithms have been reported for solving engineering applications problems with continuous decision variables.
In real applications, problems are complex and their solutions can be represented by compound patterns that require the combination and reuse of two or more design patterns.
However, for real-time control applications, problems arise.
Shows how to apply learning methods to solve important applications problems.
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Many physical application problems are axis-symmetric.
The methods will be illustrated with examples from application problems.
Further experiments are also conducted on two application problems.
These problems include well-known benchmark problems and application problems in manufacturing and robotics.
Each weekly problem set comprise three parts: a selection of standard exercises, supplementary application problems, and optional MATLAB exercises.
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