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ZeqEvolution — Evolutionary Dynamics

Protein folding, ecosystems, neural, gene expression.

  • Protocol ID — zeq-evolution
  • Category — Biology
  • Endpoint — POST /api/bio/evolution/simulate
  • Auth — api-key
  • Rate limit — 10/min
  • Version — 1.0
  • Precision — ≤0.1% (KO42-enforced)

What it does

Evolutionary dynamics via replicator equations + mutation-selection balance. Fitness landscapes computed with operator coupling — evolution as a HULYAS field process.

Signature

Request

POST /api/bio/evolution/simulate
ParamTypeRequiredDefaultDescription
strategiesarrayArray of { name, fitness, frequency }.
mutationRatenumber0.001Mutation rate per generation. Default: 0.001.
generationsnumber1000Number of generations. Default: 1000.

Response

{ finalFrequencies, fixationProbabilities, diversityIndex, fitnessTrajectory, ess }

Runnable example

curl -sS -X POST \
-H "Authorization: Bearer $ZEQ_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"strategies": [],
"mutationRate": 0.001,
"generations": 1000
}' \
"https://api.zeq.dev/api/bio/evolution/simulate"

Integrate

  1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
  2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
  3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

  • Near — wrap /api/bio/evolution/simulate in a language SDK so builders can call it in three lines.
  • Medium — publish a reference integration demonstrating ZeqEvolution — Evolutionary Dynamics alongside a real workload, with pulse-aligned metrics.
  • Far — propose ZeqEvolution — Evolutionary Dynamics as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.