Which analysis focuses on optimizing a specific output by adjusting several input variables?

Optimization analysis is the correct choice because it is specifically designed to enhance a particular outcome by systematically adjusting various input variables. In this type of analysis, the goal is to find the best combination of inputs that leads to the most desirable result, whether that be maximizing profits, minimizing costs, or improving efficiency. This approach often utilizes mathematical models and techniques to explore how changes in one or more inputs affect the overall output, and it's a fundamental concept in operations research and decision-making processes.

In contrast, while goal-seeking analysis also aims to find input values that result in a desired output, it is often more limited in scope and typically looks at one target output rather than a comprehensive optimization of multiple inputs and their interactions. An executive information system is designed to provide top executives with easy access to internal and external information relevant to their business decisions, but it does not focus specifically on optimization. A genetic algorithm is a computational method that mimics the process of natural selection to solve optimization problems, but it operates differently than traditional optimization analysis by using concepts of evolution and selection rather than directly adjusting inputs in response to output changes.