Convergence is disciplined choice under constraints. This chapter structures multi-objective decision-making, verification/validation, and traceability from assumptions to evidence. We cover local vs. global optima, rugged performance landscapes, strategies for escaping traps, and selecting among alternatives via clear criteria. Heuristics are combined with optimization to stage tests that de-risk commitments. Throughout, we emphasize auditability—decisions that “hold in the world” because they are justified, reproducible, and aligned with requirements, values, and limits.

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Design Convergence

  • Jianxi Luo

摘要

Convergence is disciplined choice under constraints. This chapter structures multi-objective decision-making, verification/validation, and traceability from assumptions to evidence. We cover local vs. global optima, rugged performance landscapes, strategies for escaping traps, and selecting among alternatives via clear criteria. Heuristics are combined with optimization to stage tests that de-risk commitments. Throughout, we emphasize auditability—decisions that “hold in the world” because they are justified, reproducible, and aligned with requirements, values, and limits.