The design space refers to the range of possible solutions that can be generated through the selection of design variables and parameters. In optimization, the design space plays a crucial role as it provides a framework for exploring and evaluating various solutions that meet the desired criteria. The design space helps to identify the key variables that influence the performance of a system or process and enables the optimization algorithm to search for the best solution that meets the constraints and objectives of the problem. By defining and refining the design space, designers and engineers can systematically explore and compare various solutions, identify the best trade-offs between performance, cost, and other factors, and ultimately find an optimal design that meets the needs of the user.
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