Engineering QUBO / FMQA Sandbox

QUBO / FMQA 快速体验沙箱

检测配置 待运行

问题与运行

执行模式

优化过程

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# 目标 温度 压降
Python 调用片段:直连 BOQA solve endpoint
payload = {
    "algorithm": "cma_es",
    "problem": "tuning",
    "engine": "cpu",
    "params": {"ranges": ranges},
    "variables": {
        item["name"]: {"type": "continuous", "bounds": [item["min"], item["max"]]}
        for item in ranges
    },
    "objective": "minimize the black-box engineering objective",
    "objective_model": {"problem": "tuning", "ranges": ranges},
    "optimizer": {"engine": "cpu", "max_evals": 36},
}

result = requests.post(
    "https://boqa-solver-hs6pkacmga-uc.a.run.app/solve",
    headers={"X-API-Key": QUBO_API_KEY},
    json=payload,
    timeout=60,
).json()