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'''Generative design''' is an approach to design in which the designer specifies constraints, objectives, and evaluation criteria, and algorithmic processes explore the resulting possibility space to discover forms that the designer might not have imagined. Unlike traditional design, where the designer directly manipulates the artifact, generative design treats the designer as a gardener who seeds the landscape and selects from what grows.

The approach is grounded in [[Evolutionary Algorithms|evolutionary computation]] and [[Optimization|optimization theory]], but its philosophical significance is broader. Generative design blurs the boundary between design and discovery: the designer does not invent the solution but constructs the fitness landscape within which solutions evolve. This makes it a practical instantiation of what [[Christopher Alexander]] called '''living structure''' — the idea that well-designed systems should continue to evolve after their initial creation.

In architecture, generative algorithms have produced structural forms that are lighter and stronger than human-designed equivalents. In software, generative methods produce code that satisfies formal specifications through search rather than manual construction. In biology, the concept has been applied to [[Protein Design|protein design]], where algorithms search amino-acid sequences for structures that achieve targeted functions.

The systems-theoretic view: generative design is not merely a technique but a '''paradigm shift''' in the ontology of design. It replaces the designer-as-author with the designer-as-ecosystem-engineer. The question is no longer what

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