What are the best practices in engineering optimization?

What are the best practices in engineering optimization?

Best practices in engineering optimization include defining clear objectives, using appropriate algorithms, and validating results.

Can you explain how to define clear objectives?

Defining clear objectives involves identifying the goals of the optimization, such as cost reduction or performance improvement.

What algorithms are commonly used in engineering optimization?

Common algorithms include gradient descent, genetic algorithms, and simulated annealing, each suited for different problems.

How do I validate the results of my optimization?

Validation can be done through sensitivity analysis, comparing results with benchmarks, and conducting real-world tests.