guofei9987 / guofei9987/scikit-opt

遗传算法能不能使用实数编码

Open
#126 1 comment 0 reactions 0 assignees View on GitHub
feature request
Dominant language
Python
Stars
6.7k
Forks
1.1k
PR merge metrics
No merged PRs in 30d

Description

目前遗传算法的实数编码属于比较实用的编码方式,在一些问题上也有较好的解决策略,我们更容易去给做一些交叉策略上的改进或者初始值的更换,我实现过部分的实数编码,但是却发现没有您提供的遗传算法的结构的效率更高,能不能提供 一些实数编码的解决方案?

Contributor guide

Open the contributing guide

Research direction

The issue does not name a file, entry point, test, or concrete acceptance criteria. Start by locating the existing genetic algorithm implementation and its documentation, then determine how real-valued encoding would fit the current design. Done would require an agreed solution and evidence that it works without reducing the reported efficiency.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.