geatpy

Geatpy is a high-performance Genetic and Evolutionary Algorithms toolbox for Python.

Project description

Geatpy–The Genetic and Evolutionary Algorithms Toolbox for Python. http://www.geatpy.com

Project details

Release history Release notifications | RSS feed

This version

2.6.0

Oct 19, 2020

2.5.1

May 30, 2020

2.5.0

Apr 28, 2020

2.5.0rc0 pre-release

Apr 17, 2020

2.4.0

Feb 9, 2020

2.3.0

Jan 14, 2020

2.2.3

Oct 1, 2019

2.2.3rc1 pre-release

Oct 1, 2019

2.2.2

Aug 29, 2019

2.2.1

Aug 20, 2019

2.2.0.post1

Aug 11, 2019

2.1.1

Aug 8, 2019

2.1.0

Jul 29, 2019

2.1.0rc1 pre-release

Jul 29, 2019

2.0.0.post6

Jun 27, 2019

1.1.5.post14

Apr 25, 2019

1.1.5

Nov 17, 2018

1.1.4

Nov 4, 2018

1.1.3

Oct 25, 2018

1.1.2

Oct 21, 2018

1.1.0

Oct 18, 2018

1.0.7

Oct 3, 2018

1.0.6

Sep 20, 2018

Download files

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

Files for geatpy, version 2.6.0
Filename, size	File type	Python version	Upload date	Hashes
Filename, size geatpy-2.6.0-cp35-cp35m-macosx_10_6_intel.whl (7.5 MB)	File type Wheel	Python version cp35	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp35-cp35m-manylinux1_x86_64.whl (16.2 MB)	File type Wheel	Python version cp35	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp35-cp35m-win32.whl (3.4 MB)	File type Wheel	Python version cp35	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp35-cp35m-win_amd64.whl (3.8 MB)	File type Wheel	Python version cp35	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp36-cp36m-macosx_10_9_x86_64.whl (4.5 MB)	File type Wheel	Python version cp36	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp36-cp36m-manylinux1_x86_64.whl (16.6 MB)	File type Wheel	Python version cp36	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp36-cp36m-win32.whl (3.5 MB)	File type Wheel	Python version cp36	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp36-cp36m-win_amd64.whl (3.9 MB)	File type Wheel	Python version cp36	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp37-cp37m-macosx_10_9_x86_64.whl (4.5 MB)	File type Wheel	Python version cp37	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp37-cp37m-manylinux1_x86_64.whl (16.7 MB)	File type Wheel	Python version cp37	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp37-cp37m-win32.whl (3.5 MB)	File type Wheel	Python version cp37	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp37-cp37m-win_amd64.whl (3.9 MB)	File type Wheel	Python version cp37	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp38-cp38-macosx_10_9_x86_64.whl (4.5 MB)	File type Wheel	Python version cp38	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp38-cp38-manylinux1_x86_64.whl (19.6 MB)	File type Wheel	Python version cp38	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp38-cp38-win32.whl (3.5 MB)	File type Wheel	Python version cp38	Upload date Oct 19, 2020	Hashes View
Filename, size geatpy-2.6.0-cp38-cp38-win_amd64.whl (4.0 MB)	File type Wheel	Python version cp38	Upload date Oct 19, 2020	Hashes View

Hashes for geatpy-2.6.0-cp35-cp35m-macosx_10_6_intel.whl

Hashes for geatpy-2.6.0-cp35-cp35m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`8b625926c6f12cc01c35497300be369e0d063e781cba230893b7f75d05438027`
MD5	`8266b15b5f2436860fee5c8a1b03a838`
BLAKE2-256	`b04e44e98e6322310514326d57f7c44db734465e07f8abb9963ef6d7b76e3f2c`

Hashes for geatpy-2.6.0-cp35-cp35m-manylinux1_x86_64.whl

Hashes for geatpy-2.6.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`8ad679cdebdbb6d64befb44121c02099669fdc0b79cb26e6e0092436f8003dad`
MD5	`d9baa69327763e6156b10028b5cb1484`
BLAKE2-256	`743988fb314fb80320c8a13732e02ccd2cb4eb2af5aade2a3578f0185ae80bcb`

Hashes for geatpy-2.6.0-cp35-cp35m-win32.whl

Hashes for geatpy-2.6.0-cp35-cp35m-win32.whl
Algorithm	Hash digest
SHA256	`e05c9b9945dd6e5d70e4d52c6ab6517ac55e1e9feb2b49e8bee2a7b4a5061d1b`
MD5	`6559ae531ba97598e274a1ec635f2650`
BLAKE2-256	`cf969195e6e02399ae90b2bde8619c8422eff62ab4d6932c64fa131f45a1ae7f`

Hashes for geatpy-2.6.0-cp35-cp35m-win_amd64.whl

Hashes for geatpy-2.6.0-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`647672c64d924e3d29ec83cf81a5b596d949fb745490d93d7c813aded554a824`
MD5	`4d4c41b0a1ce7ed2d3fcc6e06a12373d`
BLAKE2-256	`c5a98aad30717bb1a550d990b7c936775447b147fc01a956449afb68c04ec463`

Hashes for geatpy-2.6.0-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for geatpy-2.6.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`85853964f4a7f51123dec988d744d662a768e7f9acd00e3d397ea4e879e201c8`
MD5	`138d5c6796a00aa771e9c8f4f6a235fc`
BLAKE2-256	`8ad62cdf2624b42635b22b16cc2666ac578edc792c747927ee84785bf88df2e7`

Hashes for geatpy-2.6.0-cp36-cp36m-manylinux1_x86_64.whl

Hashes for geatpy-2.6.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`ebe6a3e247dec6c97a3077c39445c6344ec9a96a274e476ca8e9767f2b454748`
MD5	`6247cccb1555e90a2226684313b719ff`
BLAKE2-256	`708131e1589a59940090d37a3f1ceb58cde33146a3a26efd65fb23037445d906`

Hashes for geatpy-2.6.0-cp36-cp36m-win32.whl

Hashes for geatpy-2.6.0-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`a57ea0995660f8b0a6ca66419afc8f81582af8054f21e99d90154fb336552b9c`
MD5	`7b7920e5d391c23aa7719e74dd951b11`
BLAKE2-256	`b2f2f2137e54e4f31d7adaf05335f1aedc213c83c7ac4799c92650c11e1b9e82`

Hashes for geatpy-2.6.0-cp36-cp36m-win_amd64.whl

Hashes for geatpy-2.6.0-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`5666581d67c4697262b118f8be374589a46bc94a10be50dd1db62191414a442a`
MD5	`91dd70b8b9207fdf5d90c888c84c86da`
BLAKE2-256	`72a4e5bccb943f62408ee72890b8e67620d1929e4a339d240f0fea07d7d8a250`

Hashes for geatpy-2.6.0-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for geatpy-2.6.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`7ac2e914be0478dd49052895709436961b3f4b660459ff08e1651088ec581f09`
MD5	`294a682ca1117c011e24f2bae4dd699e`
BLAKE2-256	`6bd91d1f300a934338de6c7e6f8caabd45ccb06f98b8bce4deafe53842d8bd56`

Hashes for geatpy-2.6.0-cp37-cp37m-manylinux1_x86_64.whl

Hashes for geatpy-2.6.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`aebf28d1dada594c3a16d2c9e40f681fb464e2c5153c0d76c8b7d252b958a7b5`
MD5	`5c4180585cae99bb2a8caefca3ea5d2b`
BLAKE2-256	`dd799e14e5080fd051bc9c4d43b2bf7aca559c5eb9cfba753ec21835c268004c`

Hashes for geatpy-2.6.0-cp37-cp37m-win32.whl

Hashes for geatpy-2.6.0-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`7969f7688f9873092cdf7539c542eb75d665baf45da3949aa48abfa10e9bdbc9`
MD5	`ce9bf95edac3d341504d64c0c58a1f95`
BLAKE2-256	`404cbfc3bdfdb3454efc541639010a44ad817f8d507a215ae75da3604950fe37`

Hashes for geatpy-2.6.0-cp37-cp37m-win_amd64.whl

Hashes for geatpy-2.6.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`9b33a259e9b12871304f9e01b5a5b55aaa0a389876b527a81b75b3c602ce318d`
MD5	`de269961ebf4a2d54ac93598b8be41a9`
BLAKE2-256	`7ae13b56bf9c41d228522fee6fbe8b41e31b1b22f3074b3a64293953470b6612`

Hashes for geatpy-2.6.0-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for geatpy-2.6.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`97a6dba53751102b956d316c2bbbaeca06acf50c0d7904d2ad5ade1783becd93`
MD5	`ad9ba0b917169129c9d5f53636a8d919`
BLAKE2-256	`0b3aaaa75061620c5f6f0fe901579c2e5b3b8c057283c81887e1eb762eca04e7`

Hashes for geatpy-2.6.0-cp38-cp38-manylinux1_x86_64.whl

Hashes for geatpy-2.6.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`67c4d8ff152c96f9921a3faa4f772751468cd1bf563332921a92c2fb11542777`
MD5	`9342bb04830cdd46c1032346550c98af`
BLAKE2-256	`9646504e2aebb5654055659dc6fc2dca6cf90eb28ec75fbd2564c25bb188dfa7`

Hashes for geatpy-2.6.0-cp38-cp38-win32.whl

Hashes for geatpy-2.6.0-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`9858248c13e6d24672c2a615a1c231225c4c9cd93d3de308860814f46b680084`
MD5	`c5a23e2b81fef80f69dc8de45a7dffd0`
BLAKE2-256	`d6fcca493640cd59e4b32ea88c3a69e4a5b3466e48c52e4ce6310159772c9b7b`

Hashes for geatpy-2.6.0-cp38-cp38-win_amd64.whl

Hashes for geatpy-2.6.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`8bfa43a0833a59e91af62e6f6180c95778ced41e8336dbd9503a7537e45552f7`
MD5	`fd08a797594962fc71ffc80b6b45d45e`
BLAKE2-256	`bb2d5ebb9be4164896b9e02a5bbd3ffac982bfcdd679ec0828f15f37a6817d2f`