Dan Albert 8f30e60e1b Use unplanned missions to guide aircraft purchase.
AI aircraft purchase decisions are now driven by the missions that the
flight planner was unable to fulfill. This way we're buying the aircraft
we actually need instead of buying them at random, in the locations we
need them, in the order they're needed.

There's a bit more that could be improved here:

* Unused aircraft could be ferried to where they would be more useful.
* Partial squadrons could be completed rather than buying a whole flight
  at a time.
* Aircraft could be ranked by their usefulness so we're not buying so
  many Hueys when a Hornet would do better.
* Purchase a buffer of CAP capable aircraft in case too many are shot
  down and they are not available next turn.

https://github.com/Khopa/dcs_liberation/issues/361
2020-12-06 00:59:04 -08:00
2020-11-17 18:11:33 -08:00
2020-10-30 13:51:18 -07:00
2020-08-22 20:00:07 -07:00
2020-11-24 13:10:28 +01:00
2020-11-19 14:23:43 -06:00

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About DCS Liberation

DCS Liberation is a DCS World turn based single-player or co-op dynamic campaign. It is an external program that generates full and complex DCS missions and manage a persistent combat environment.

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Downloads

Latest release is available here : https://github.com/Khopa/dcs_liberation/releases

Resources

Tutorials, contributors and developer's guides are available in the project's Wiki

Special Thanks

First, a big thanks to shdwp, for starting the original DCS Liberation project.

Then, DCS Liberation uses pydcs for mission generation, and nothing would be possible without this. It also uses the popular Mist lua framework for mission scripting.

Excellent lua scripts DCS Liberation uses as plugins:

  • For the JTAC feature, DCS Liberation embeds Ciribob's JTAC Autolase script.
  • Walder's Skynet-IADS is used for Integrated Air Defense System.

Please also show some support to these projects !

Description
Dynamic campaign mission generator for DCS World
Readme 386 MiB
Languages
Lua 60.2%
Python 38.3%
TypeScript 1.1%
Jinja 0.2%
CSS 0.2%