customhys

This framework provides tools for solving, but not limited to, continuous optimisation problems using a hyper-heuristic approach for customising metaheuristics.

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

The author of this package has not provided a project description

Project details

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

1.1.6

Apr 25, 2024

1.1.5

Oct 25, 2023

1.1.4

Oct 25, 2023

1.1.2

Apr 15, 2023

1.1.1

Apr 14, 2023

1.1.0

Mar 14, 2023

This version

1.0.1.dev1 pre-release

Mar 25, 2022

1.0.0

Mar 25, 2022

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

customhys-1.0.1.dev1.tar.gz (5.2 MB view hashes)

Uploaded Mar 25, 2022 Source

Built Distribution

customhys-1.0.1.dev1-py3-none-any.whl (193.5 kB view hashes)

Uploaded Mar 25, 2022 Python 3

Hashes for customhys-1.0.1.dev1.tar.gz

Hashes for customhys-1.0.1.dev1.tar.gz
Algorithm	Hash digest
SHA256	`af8da80b4f4d6f048a2a48cfbc7cd1fac3e15a8e7c53ef18e72057295cc3d341`
MD5	`f763c9ca639f827c4b4a29f73fd428d6`
BLAKE2b-256	`2cfa85f04cd66ace1a0e4e0b875146803f6bf6d03ee7dccfce35e6c34588bfc3`

Hashes for customhys-1.0.1.dev1-py3-none-any.whl

Hashes for customhys-1.0.1.dev1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`35c44a6e05b7f9fb72c5012b7bc71876504488758891dc7f4870a107aea966ea`
MD5	`c8c525ed55f2911435a50d6d0a81d379`
BLAKE2b-256	`06d1a0ae3f764acd76814c4e7acf2f634395daf6c79eac99f042e9947c91bb24`