Sentence examples for multiple objectives such as from inspiring English sources

Companies have to satisfy multiple objectives (such as quality, safety and overall environmental impact).

However, history suggests humans, in contrast to ants and slime molds (e.g. ), rarely optimize growth, particularly when multiple objectives such as profit, equity, and ecological integrity come into conflict.

The saMOGA aims to determine the optimal decision variables, i.e. failure rates, repair rates, and the number of components in each subsystem, according to multiple objectives, such as system availability, system cost and system net profit.

In most of the real world design or decision making problems involving reliability optimization, there are simultaneous optimization of multiple objectives such as the maximization of system reliability and the minimization of system cost, weight and volume.

With the recent inclusion of multiple objectives such as minimizing the cost, maximizing the throughput and maximizing the reliability, the problem gets even more complex and an efficient approximate method becomes more valuable.

It is shown that the evolutionary technique provides an excellent fitting performance and is capable of accommodating multiple objectives such as to examine the relationships between model complexity and fitting accuracy during the model building process.

Because of the political nature of his economic analyses, Tinbergen was one of the first to show that a government with multiple policy objectives, such as full employment and price stability, must be able to draw on multiple economic policy tools—say, monetary policy and fiscal policy to achieve the desired results.

Most network topology design problems involve simultaneously optimizing multiple conflicting objectives such as average delay and network equipment cost while satisfying flow and reliability constraints.

Most real-world problems naturally involve multiple conflicting objectives, such as in the case of attempting to maximize both efficiency and safety of a working environment.

It is an important and strategic operations management problem in supply chain management, and usually involves multiple and conflicting objectives such as cost, service level, resource utilization, etc.

Multiple conflicting optimization objectives, such as maximization of bandwidth vs. minimization of bit error rate, can be assigned with weights differentially according to the desired mode of communication, ranging from bandwidth maximization mode to emergency mode for high resiliency [59], etc. Figure 8 A taxonomy of machine learning approaches for Cognitive Engine.