v3.0.0

Based on our new proposed classes, solving continuous and discrete problems is never that easy.

Add

• space module with: FloatVar, IntegerVar, StringVar, BoolVar, PermutationVar, BinaryVar, and MixedSetVar classes
  • FloatVar: handle problem with solution's format as float value
  • IntegerVar: handle problem with solution's format as integer value
  • StringVar: handle problem with solution's format as string value
  • BoolVar: handle problem with solution's format as boolean value (True or False)
  • PermutationVar: handle problem with solution's format as permutation value
  • BinaryVar: handle problem with solution's format as binary value (0 or 1)
  • MixedSetVar: handle problem with solution's format as mixed discrete set
• target module with Target class contains:
  • objectives (list), weights (list) to calculate fitness, and fitness (number)
• agent module with: Agentte class that is a placeholder for a search agent, it contains at least two attributes:
  • solution (position - np.ndarray), and a target object

Update

• Convert all optimizers to use new classes
• Convert Tuner and MultiTask classes
• Rename all un-official (developed by our team) optimizers to DevOptimizerName
• Update tests and documents
• Update some examples, not all examples have converted yet (utils and applications folders)