mdabrowski1990 / optimization Goto Github PK

Design, implement, test and document stop conditions.

Possible stop conditions:

• time restriction (mandatory)
• satisfying solution
• iterations without progress
• time without progress

TODO:

• adjust to self adaptive algorithms
• compatible with all algorithms types

During comparison, it is necessary to take optimization_type into ocnsideration

Update readme.md to have properly displayed links to:

• PyPI
• coverage report
• static analysis status
• other fancy gadgets?

Test package and prepare to be used by other users.

Add possibility to create loggs in other formats:

• csv
• xml?
• excel?

Design, implement, test and document simulated annealing algorithm.

Design, implement, test and document self-adaptive evolutionary algorithm.

Design, implement, test and document evolutionary algorithm.

Design, implement, test and document random algorithm.

Design, implement, test and document logger functionality.

TODO:

• setting logging verbosity and logs format
• include following data in logs:
  • best solution
  • optimization problem
  • configuration of optimization algorithm with stop conditions
  • all solutions found
• adjust to self adaptive algorithm (two level optimization)

Swarm algorithm to add:

• bees
• ants

Design, implement and test abstract optimization algorithm.

Rework function optimization.logging.utilities.log_function_code to return code in proper format (indentation, new lines etc.)