feloopy - FelooPy v0.3.8

What's new?

• Fully resolved dependencies—no more conflicts. • Minor bug fixes & performance tweaks. • Pass your dataset into the search operator to observe the magic.

- Python
Published by k-tafakkori about 1 year ago

feloopy - FelooPy v0.3.7

What's new?

• Dependency Fixes: Resolved issues with outdated or deprecated Python packages and NumPy types (np.float, np.int).
  
• Core Improvements: Enhanced reporting, notifiers (search/model status), decision uncertainty handling, and model-data integration.
  
• Bug Fixes: Corrected float values showing for binary/integer types and fixed logging issues (e.g., pymprog).
  
• New Features:
  
  • Added bounds checker for heuristics
    
  • Warnings for penalty_coefficient
    
  • Imprecision/unreliability checkers
    
  • Data report box
    
• Solver & Interface Updates:
  
  • Highspy 1.10.0: Fixed deprecated NumPy type usage
    
  • Gekko 1.3.0: Compatibility verified
    
  • CVXPY 1.6.4: Highs solver supported; ECOS dropped
    
  • OR-Tools 9.12: Supported; NumPy fixes applied
    
  • PyDecision 4.7.5: Added LMAW & CPP-Tri algorithms
    
  • NiaPy 2.5.2: Added (pending algorithm checks)
    
  • Xpress: Supported; variable-adding method needs update

- Python
Published by k-tafakkori about 1 year ago

feloopy - FelooPy v0.3.6

What is new?

• Project has moved from https://github.com/ktafakkori/feloopy to https://github.com/feloopy/feloopy
• Introducing track_history=False/True as a new search attribute, allowing visualization of trends using heuristic optimization algorithms.
• Introducing flp.parallel_search() to parallelize the solution environments over threads and processes.
• Introducing environment-based usage of multi-attribute decision-making methods.
• m.sets() or flp.sets() now accepts one or more than one set in defining for loops.
• m.sum() is now the best way to have summation expressions in the model.
• Fixed bugs in displaying decision variables.
• Fixed bugs in defining and using zero-dimensional variables in heuristic optimization.
• Updated the solvers (i.e., algorithms) provided by the niapy and mealpy heuristic optimization interfaces.
• Updated free solvers installable by flp setup or through the FelooPy Engine.
• Introducing save_io as a new method for the data toolkit.
• Testing grad-heuristics (gradient-based optimizers of the machine learning field) for upcoming versions.
• Enhancing the consistency between FelooPy and the FelooPy engine.
• Numerous bug fixes and feature improvements.

- Python
Published by k-tafakkori over 1 year ago