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Evaluate a solution to a complex real-world problem based on prioritized criteria and trade-offs that account for a range of constraints, including cost, safety, reliability, and esthetics as well as possible social, cultural, and environmental impacts.
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Use a computer simulation to model the impact of proposed solutions to a complex real-world problem with numerous criteria and constraints on interactions within and between systems relevant to the problem.
The field has contributed fundamentally to our understanding of life itself through computer models, and has led to novel solutions to complex real-world problems from disease prevention to stock market prediction across high technology and human society.
Cases can range from fairly simple (one issue, one solution) to complex, real-world scenarios that scientific researchers themselves may not yet have been able to explain.
How can we blend scientific knowledge and technical expertise in various areas to come up with new solutions to complex real-world problems in places around the world?
Numerous different methodologies have been introduced in the last few decades to provide efficient solutions for complex real-world problems and other optimization problems.
The examples demonstrate the applicability of the evolutionary approach to solve complex real-world problems.
Dr. Kevin Adams is a much sought after speaker and lecturer who specializes in providing systems-based solutions for complex real-world problems.
With little hesitation, consulting engineers apply them to complex real-world problems.
HS has been widely used to deal with complex real-world optimization problems (Geem 2006).
The finite element method (FEM) is a powerful computational technique for approximate solutions to a variety of "real-world" engineering problems having complex domains subjected to general boundary conditions.
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