This post will attempt to explain some basic ideas of multi-objective optimization and the non-dominated sorting genetic algorithm II (known as NSGA-II to it’s friends). It will also provide an example in Python using the library “inspyred”.
https://oklahomaanalytics.com/data-science-techniques/nsga-ii-explained/
https://oklahomaanalytics.com/data-science-techniques/nsga-ii-explained/
https://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html
Deep Reinforcement Learning Course by Deep Mind
Deep Reinforcement Learning Course by Deep Mind
Zero-to-One-Notes-on-Startups-or-How-to-Build-the-Future.epub
1.3 MB
Zero to One: Notes on Startups, or How to Build the Future
https://www.sciencedirect.com/topics/engineering/operating-condition
Operating conditions are most often described in terms of standardized modes of operation, e.g. maximum kerosene mode for the crude distillation unit.
Operating conditions are most often described in terms of standardized modes of operation, e.g. maximum kerosene mode for the crude distillation unit.
Introduction to equality and inequality constraints
https://en.wikipedia.org/wiki/Constraint_(mathematics)
https://en.wikipedia.org/wiki/Constraint_(mathematics)
Wikipedia
Constraint (mathematics)
condition of an optimization problem that a solution must satisfy
Discover the current state of the art in objects classification:
https://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html#43494641522d3130
https://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html#43494641522d3130
rodrigob.github.io
Classification datasets results