2.0.0rc8 (2019-11-11)

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Merged pull requests:

• Fix pypi README #235 (GregaVrbancic)

2.0.0rc7 (2019-11-11)

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Merged pull requests:

• Fix bump2version #234 (GregaVrbancic)

2.0.0rc6 (2019-11-11)

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Closed issues:

• Confusion with GSO #221
• No module named 'NiaPy.algorithms' #219
• Documentation fix #211

Merged pull requests:

• docs: add jhmenke as a contributor #232 (allcontributors[bot])
• replacing badges and mentions of appveyor and travis #231 (GregaVrbancic)
• cleanup old ci configurations #230 (GregaVrbancic)
• docs: add FlorianShepherd as a contributor #229 (allcontributors[bot])
• docs: add musawakiliML as a contributor #228 (allcontributors[bot])
• Automatic Release #226 (GregaVrbancic)
• Fixes comments in runner.py #225 (GregaVrbancic)
• fix comment. replace mutation and crossover with uniform one. #223 (GregaVrbancic)
• fix runner nRuns issue #222 (GregaVrbancic)
• update run_jde.py #217 (rhododendrom)
• Added Cat Swarm Optimization algorithm #216 (mihael-mika)
• Bea algorithm #214 (RokPot)

2.0.0rc5 (May 6, 2019)

• fixes and improvements of algorithm interface
• various algorithm implementation fixes
• add support for Python 3.7
• documentation fixes
• introduced maximization
• added algorithms:
  • Fish School Search
  • Coral Reefs Optimization
  • Cuckoo Search
  • Forest Optimization Algorithm
  • Monarch Butterfly Optimization
• update runner utility
• update examples
• various bugfixes

2.0.0rc4 (Nov 30, 2018)

• fix dependecies versions

2.0.0rc3 (Nov 30, 2018)

• added moth flame optimizer
• added new examples
• documentation updates
• PSO and BBFWA algorithms fixes
• stopping conditions fixes
• added new test cases
• added multiple seed option
• various bugfixes

1.0.2 (Oct 24, 2018)

• fix Bat and Hybrid Bat algorithms

2.0.0rc2 (Aug 30, 2018)

Changes included in release:

• Added algorithms:

  • basic:
    • Camel algorithm
    • Evolution Strategy
    • Fireworks algorithm
    • Glowworm swarm optimization
    • Harmony search algorithm
    • Krill Herd Algorithm
    • Monkey King Evolution
    • Multiple trajectory search
    • Sine Cosine Algorithm
  • modified:
    • Dynamic population size self-adaptive differential evolution algorithm
  • other:
    • Anarchic society optimization algorithm
    • Hill climbing algorithm
    • Multiple trajectory search
    • Nelder mead method or downhill simplex method or amoeba method
    • Simulated annealing algorithm

• Added benchmarks functions:

  • Discus
  • Dixon-Price
  • Elliptic
  • HGBat
  • Katsuura
  • Levy
  • Michalewicz
  • Perm
  • Powell
  • Sphere2 -> Sphere with different powers
  • Sphere3 -> Rotated hyper-ellipsoid
  • Trid
  • Weierstrass
  • Zakharov

• breaking changes in algorithms structure

• various bugfixes

• fix PyPI build

2.0.0rc1 (Aug 30, 2018)

Niapy version 2.0.0rc1

1.0.1 (Mar 21, 2018)

This release reflects the changes from Journal of Open Source Software (JOSS) review:

• Better API Documentation

• Clarification of set-up requirements in README

• Improved paper