# Other Techniques ![](/files/-LrPm3c4Pn1RXIZXgXxL) There are many techniques that can be used to tackle a Computational Design problem. In addition to the genetic algorithm, other examples include: * solving with pen and paper * manual guess and check * set packing or partitioning algorithms * gradient descent * stochastic (or, random) local search and filtering results to find a desired maximum, minimum, or median values. * linear, integer, or quadratic programming Some of these techniques are quite basic and easy to implement (see the '[Optioneering section](/02-deeper-dive/02-02_optioneering.md)'); others are far more sophisticated. Choosing the right technique for your application is tricky and much more of an art than a science. Often, it comes down to the precise design question you are tackling and your familiarity with a given technique. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://www.generativedesign.org/02-deeper-dive/02-05_other-techniques.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.