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It requires the optimization of multiple conflicting objectives.
Thus, it can consider multiple conflicting objectives with low complexity.
Such problems involve multiple, conflicting objectives, making them challenging to solve.
Compromises among multiple conflicting objectives need to be made in real-world cases under uncertainty.
Solving becomes even more challenging in case of multiple conflicting objectives that must be optimized simultaneously.
Practical issues such as multiple conflicting objectives [35, 90], multiple decisions [95, 104], attribute selection [79] are catching more attentions.
Similar(17)
The paper presents the concept of Multi-objective Multidisciplinary design optimization techniques to support trade-off decisions between multiple conflicting design objectives and interdisciplinary design methodology, during the conceptual design of sport buildings.
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.
At both levels of there are multiple and conflicting objectives.
Real-world network design problems are often characterized by multiple and conflicting objectives.
The optimization of oil field development and production planning typically requires the consideration of multiple, possibly conflicting, objectives.
More suggestions(15)
numerous conflicting objectives
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multiple conflicting identities
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multiple conflicting narratives
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