Chimera constructs an ASF using approximate Heaviside functions to weight objective functions f . Importantly, the resulting ASF is sensitive to only one objective function at a time in any given parameter space region. As such, objective values y i are shifted based on the minimum of y i-1 (the next most important objective function in f ) in the parameter space regions where y i-1 does not satisfy its corresponding tolerance y tol i . This minimum value is denoted y min i-1 . Chimera, χ(D; y tol ) is then formulated as