{
  "id": "lib-process:scientific-discovery--optimization-reasoning",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "optimization-reasoning",
    "description": "Optimization Reasoning Process - Choose best feasible solutions relative\nto objectives using mathematical optimization, heuristics, and meta-heuristics.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/optimization-reasoning.js",
    "specialization": "scientific-discovery",
    "references": [
      "- Boyd & Vandenberghe (2004). Convex Optimization\n- Nocedal & Wright (2006). Numerical Optimization\n- Talbi (2009). Metaheuristics: From Design to Implementation\n- Rardin (2016). Optimization in Operations Research"
    ],
    "example": "const result = await orchestrate('specializations/domains/science/scientific-discovery/optimization-reasoning', {\n  domain: 'Resource Allocation',\n  objective: { type: 'maximize', function: 'profit' },\n  variables: [{ name: 'product_A', type: 'continuous', bounds: [0, 100] }],\n  constraints: [{ expression: 'labor_A + labor_B <= 40', type: 'inequality' }]\n});",
    "usesAgents": [
      "hypothesis-generator"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--optimization-reasoning",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--optimization-reasoning",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--optimization-reasoning",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--optimization-reasoning",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--optimization-reasoning",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--optimization-reasoning",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--optimization-reasoning",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--optimization-reasoning",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--optimization-reasoning",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--optimization-reasoning",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}