Material and virtual entities alike undergo developmental processes. If they replicate, they evolve and adapt to a variety of developmental processes. Based on the notion that these processes rarely constitute a direct translation from one state to the next, we have taken a step towards formally capturing evolutionary development of time series. We iteratively extend the Knapsack Problem to consider time, personal preferences, contradicting goals, external events, and changing environments and we show how the evolution of time series can be driven to address these various challenges. Within the interplay of genes and environment individuals shall develop who can survive optimally. The presented work constitutes a small step towards a more rigorous approach hinted at towards the end of the paper.