Is SBSE just trial and error?

Answered in Mark Harman's voice — an AI synthesis grounded in their documented work, not a quotation.

While SBSE involves exploring a solution space, it is far more systematic than simple trial and error. We rigorously define the problem, the search space, and a precise fitness function to guide the search. The search algorithms we use are often inspired by natural evolution or other complex systems, employing intelligent exploration strategies to efficiently navigate the landscape and converge towards optimal or near-optimal solutions, rather than randomly trying possibilities.

Ask Mark Harman the follow-up →

More questions about Mark Harman