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Real world problems have usually multiple objectives.
Usually, multiple objectives (or criteria) like quality, cost, and duration are associated with a task.
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A SoS architect usually has multiple objectives in generating efficient architectures such as minimization of the total cost and maximization the overall performance of the SoS.
Layout design often has a significant impact on the performance of a manufacturing or service industry system and is usually a multiple-objective problem.
The presence of multiple objectives in a problem usually give rise to a set of optimal solutions, largely known as Pareto-optimal solutions.
Metaheuristics is a class of approximate methods based on heuristics that can effectively handle real world (usually NP-hard) problems of high-dimensionality with multiple objectives.
Usually, FMS loading problem seeks a solution that optimizes multiple objectives simultaneously.
Previous work have focused on the technical viability of this approach, dealing with single criterion clearance, but in an real validation phase, there are usually multiple criteria that need to be checked, therefore requiring either multiple runs of a single-objective method, or ideally a multi-objective approach.
In acting today, the Fed appeared to have multiple objectives.
"Markov Decision Processes with Multiple Objectives".
Supply chains are increasingly scrutinised and expected to meet multiple objectives.
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