II.
LibraryProcess overview
Reference · livelib-process:scientific-discovery--optimization-reasoning
optimization-reasoning overview
Optimization Reasoning Process - Choose best feasible solutions relative to objectives using mathematical optimization, heuristics, and meta-heuristics.
Attributes
displayName
optimization-reasoning
description
Optimization Reasoning Process - Choose best feasible solutions relative
to 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 - Nocedal & Wright (2006). Numerical Optimization - Talbi (2009). Metaheuristics: From Design to Implementation - Rardin (2016). Optimization in Operations Research
example
const result = await orchestrate('specializations/domains/science/scientific-discovery/optimization-reasoning', {
domain: 'Resource Allocation',
objective: { type: 'maximize', function: 'profit' },
variables: [{ name: 'product_A', type: 'continuous', bounds: [0, 100] }],
constraints: [{ expression: 'labor_A + labor_B <= 40', type: 'inequality' }]
});
usesAgents
- hypothesis-generator
Outgoing edges
lib_applies_to_domain1
- domain:scientific-discovery·DomainScientific Discovery
lib_belongs_to_specialization2
- specialization:scientific-research-methods·SpecializationScientific Research Methods
- specialization:scientific-discovery·SpecializationScientific Discovery
lib_implements_workflow2
- workflow:experiment-design·WorkflowExperiment Design
- workflow:peer-review-cycle·WorkflowPeer Review Cycle
lib_involves_role2
- role:research-engineer·RoleResearch Engineer
- role:computational-scientist·RoleComputational Scientist
lib_requires_skill_area3
- skill-area:data-analysis·SkillAreaData Analysis
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
- skill-area:deep-web-research·SkillAreaDeep Web Research
Incoming edges
None.