Resources:
- Berkley's site on DE and their implementation in Python:
http://www1.icsi.berkeley.edu/~storn/code.html http://cci.lbl.gov/cctbx_sources/scitbx/differential_evolution.py - Tutorial on DE in Python:
https://pablormier.github.io/2017/09/05/a-tutorial-on-differential-evolution-with-python/ - Wikipedia's page on DE, some basic ideas:
https://en.wikipedia.org/wiki/Differential_evolution - Wikipedia's page on SA, some basic ideas:
https://en.wikipedia.org/wiki/Simulated_annealing - Implementation of SA in Python:
https://github.com/perrygeo/simanneal - Stack Overflow thread on SA in Python:
https://stackoverflow.com/questions/19757551/basics-of-simulated-annealing-in-python - Research paper on modified DE algorithm with SA, contains pseudo code:
https://www.hindawi.com/journals/jam/2014/931630/ - Another reasearch paper on hybrid DE-SA algorithm:
https://ac.els-cdn.com/S0898122113004318/1-s2.0-S0898122113004318-main.pdf?_tid=8067bf75-fedf-4bc1-a27d-e5114ee34688&acdnat=1524347296_1cd91a7b761aae89a0a4837c5554f88f - Project site: https://pzawistowski.github.io/WAE18L