Skip to content

patteeraL/maze-problem-using-genetic-algorithm-optimization

View on GitHub ↗Related repositories →

This project demonstrates the use of genetic algorithms to solve maze problems by evolving potential solutions over multiple generations. The algorithm uses a fitness-based selection mechanism to guide the population toward optimal paths.

active 2024-10-152024-10-15 (UTC)

Complete coverage26,556 / 26,556 hourly files (100%) · 2 absent upstream2023-08-152026-08-25 (UTC)
Events
19
Pushes
17
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-10-15 to 2024-10-15. Pushes: 17 total, peak 17 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
patteeraL171700

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.