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Optimization problem

Known as: NP optimization problem, Optimal solution, Optimal value 
In mathematics and computer science, an optimization problem is the problem of finding the best solution from all feasible solutions. Optimization… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Static robust optimization (RO) is a methodology to solve mathematical optimization problems with uncertain data. The objective… Expand
Review
2019
Review
2019
Abstract Following high-profile government and industry studies, electric aircraft propulsion has emerged as an important… Expand
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Review
2019
Review
2019
Optimization techniques have been indispensable for designing high-performance meta-devices targeted to a wide range of… Expand
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Review
2019
Review
2019
Abstract In population-based optimization algorithms (POAs), given an optimization problem, the quality of the solutions depends… Expand
Review
2019
Review
2019
  • W. Powell
  • Eur. J. Oper. Res.
  • 2019
  • Corpus ID: 85512222
Abstract Stochastic optimization is an umbrella term that includes over a dozen fragmented communities, using a patchwork of… Expand
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Review
2019
Review
2019
Deep learning achieves state-of-the-art results in many areas. However recent works have shown that deep networks can be… Expand
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Review
2019
Review
2019
Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward… Expand
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Review
2019
Review
2019
Integrating the unmanned aerial vehicles (UAVs) into the cellular network is envisioned to be a promising technology to… Expand
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Review
2018
Review
2018
In the era of big data, recommender system (RS) has become an effective information filtering tool that alleviates information… Expand
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Review
2018
Review
2018
Abstract Subjectivity detection is a task of natural language processing that aims to remove ‘factual’ or ‘neutral’ content, i.e… Expand