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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
We propose a new family of policy gradient methods for reinforcement learning, which alternate between sampling data through… 
Highly Cited
2011
Highly Cited
2011
In this paper we focus on robust linear optimization problems with uncertainty regions defined by φ-divergences for example, chi… 
Highly Cited
2007
Highly Cited
2007
This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrained… 
Highly Cited
2003
Highly Cited
2003
Variable and feature selection have become the focus of much research in areas of application for which datasets with tens or… 
Highly Cited
2000
Highly Cited
2000
We consider the problem of finding the unconstrained global minimum of a real-valued polynomial p(x): {\mathbb{R}}^n\to {\mathbb… 
Highly Cited
2000
Highly Cited
2000
This paper proposes a novel evolutionary computing method called a genetic quantum algorithm (GQA). GQA is based on the concept… 
Highly Cited
1997
Highly Cited
1997
A new heuristic approach for minimizing possiblynonlinear and non-differentiable continuous spacefunctions is presented. By means… 
Highly Cited
1994
Highly Cited
1994
This paper is about multidisciplinary (design) optimization, or MDO, the coupling of two or more analysis disciplines with… 
Highly Cited
1992
Highly Cited
1992
Whether or not the general asymmetric variational inequality problem can be formulated as a differentiable optimization problem… 
Highly Cited
1986
Highly Cited
1986
We study computational complexity theory and define a class of optimization problems called OptP (Optimization Polynomial Time…