Water of high quality will require minimal treatment thereby minimizing cost.
LID implementation strategies were optimized using the optimization-simulation model for five different implementation scenarios for each of the three storm events with the objectives of minimizing peak flow in the stormsewers, reducing total runoff, and minimizing cost.
The optimum sampling design can be defined in two ways: 1. minimizing cost for a specified level of precision, or 2. minimizing variance for a specified cost.
Besides minimizing cost, increasing service quality is addressed by using several objective functions such as minimizing delivery time, expected casualties, unmet demand for evacuees, service delay and maximizing survival rate, delivery and credibility.
In such a framework, an optimal design is sought by minimizing cost for maximal value.
The methods of operations research and programming provide scientific criteria for maximizing profit, minimizing cost, and selecting the most profitable combination of products.
Next, you must apply the principles of DSD with the primary goal of minimizing cost and emphasizing less invasive approaches before you explore other methods.
Most optimization studies focus on minimizing cost while meeting a cleanup goal within a given time frame.
The goal of an optimal manufacturing process is to maximize product performance while minimizing cost, time, and waste.
Or in problems of choosing what generators to run in a power grid to satisfy demands while minimizing cost, there is often significant structure to what the inputs look like.
An optimization problem of trying to maximize end-user satisfaction (utility or efficacy) while minimizing cost is termed "quality of service" (QOS).
