The goal is to find the best outfit or to optimize the user look, which consists of pieces from all categories (top, bottom, shoes, neck, and purse) given a dress code, color pallet, and budget. By implement a GA algorithm we will reach our goal.
Its consist of pieces of clothes in the market which are : Top, bottom, shoes, neck purse. Given with each piece its dress code (casual, sport ,Business, evening), and its colour (dark, light), and its price( the pieces with 0 SAR is already on the user wardrobe) .
The user enters a dress code, and colour, and budget. And the GA algorithm will then run to find the best pieces from each category that maximize the fitness function and output the items.
- Numpy