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gimuby

v0.8.0RubyGems· Ruby

Implemented for academic purpose, Gimuby is also suitable for teaching purpose. As far as we know this implementation of genetic algorithms is the most advanced available in Ruby for itintegrates an implementation of the island model, reusable patterns for user problem composition and optimal configuration genetic algorithm Gimuby contains the implementation of standard genetic algorithm (named population) and distributed genetic algorithm or island model (named archipelago). The presented archipelago are NOT distributed (nor with threads, processes, or physical machines). However they let the user benefits ofthe leverage they represent to obtain a better solution with the same amount of resources spent. Similar to: AI4R, gga4r and darwinning

The verdict
Abandoned. Last published 10 years ago. No recent activity — look for a maintained alternative.
No recent activity — look for a maintained alternative.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceAbandoned
PopularityNiche
SecurityClean
LicensePermissive
DepsZero deps
Maintenance
Last published 10 years ago.
Popularity
16 downloads / week
Security
No known advisories for this version (OSV).
License
MIT
Dependencies
No runtime dependencies
Recent releases
  • 0.8.010 years ago
  • 0.7.411 years ago
  • 0.7.312 years ago
  • 0.7.212 years ago
gimuby — Implemented for academic purpose, Gimuby is also suitable for teaching purpose. As far as we know this implementation of genetic algorithms is the most advanced available in Ruby for itintegrates an implementation of the island model, reusable patterns for user problem composition and optimal configuration genetic algorithm Gimuby contains the implementation of standard genetic algorithm (named population) and distributed genetic algorithm or island model (named archipelago). The presented archipelago are NOT distributed (nor with threads, processes, or physical machines). However they let the user benefits ofthe leverage they represent to obtain a better solution with the same amount of resources spent. Similar to: AI4R, gga4r and darwinning (Ruby / RubyGems) · Modules