Genetic algorithm that should produce floor plans and arrangements. Probably will never work properly.

The main idea is

1. generate random genomes (generation)
2. score them according to soft constraints (fitness)
3. choose genomes with probability proportional to its scores
4. combine chosen genomes into a new population (crossover)
5. mutate some genes (mutation)
6. repeat from 2

g++ -o ga.o main.cpp -lopencv_core -lopencv_highgui -lopencv_imgproc -lopencv_imgcodecs

• Genome: The representation of the floor plan in memory. Consists of many genes
• Gene: The representation of a space(room/walkway etc) in the genome.
• Score: How good a genome is according to the soft constraints. Bigger is better (or so I've heard).
• Soft constraints: The things that are used to score a genome. For example
  • Distance between room and bathroom
  • Distance between kitchen and living room
  • Wasted area for walkways
  • etc.
• Hard constraints: The things that make a genome acceptable or not. Failing to pass a hard constraint implies a score of 0.
  • Plot limits
  • Access to rooms
  • Minimum dimensions

• haha yes

OpenCV > 2.0