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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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Related topics
Related topics
50 relations
APX
Approximation-preserving reduction
BOBYQA
Backpropagation
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Robust Solutions of Optimization Problems Affected by Uncertain Probabilities
A. Ben-Tal
,
D. D. Hertog
,
A. D. Waegenaere
,
B. Melenberg
,
G. Rennen
Manag. Sci.
2013
Corpus ID: 761793
In this paper we focus on robust linear optimization problems with uncertainty regions defined by φ-divergences for example, chi…
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Highly Cited
2008
Highly Cited
2008
Biogeography-Based Optimization
D. Simon
IEEE Transactions on Evolutionary Computation
2008
Corpus ID: 8319014
Biogeography is the study of the geographical distribution of biological organisms. Mathematical equations that govern the…
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Highly Cited
2007
Highly Cited
2007
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
D. Karaboga
,
B. Basturk
IFSA
2007
Corpus ID: 6379724
This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrained…
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Highly Cited
2003
Highly Cited
2003
An Introduction to Variable and Feature Selection
I. Guyon
,
A. Elisseeff
J. Mach. Learn. Res.
2003
Corpus ID: 379259
Variable and feature selection have become the focus of much research in areas of application for which datasets with tens or…
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Highly Cited
2001
Highly Cited
2001
Global Optimization with Polynomials and the Problem of Moments
J. Lasserre
SIAM J. Optim.
2001
Corpus ID: 16740871
We consider the problem of finding the unconstrained global minimum of a real-valued polynomial p(x): {\mathbb{R}}^n\to {\mathbb…
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Highly Cited
2000
Highly Cited
2000
Genetic quantum algorithm and its application to combinatorial optimization problem
Kuk-Hyun Han
,
Jong-Hwan Kim
Proceedings of the Congress on Evolutionary…
2000
Corpus ID: 14197548
This paper proposes a novel evolutionary computing method called a genetic quantum algorithm (GQA). GQA is based on the concept…
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Highly Cited
1997
Highly Cited
1997
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
R. Storn
,
K. Price
J. Glob. Optim.
1997
Corpus ID: 5297867
A new heuristic approach for minimizing possiblynonlinear and non-differentiable continuous spacefunctions is presented. By means…
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Highly Cited
1994
Highly Cited
1994
Problem Formulation for Multidisciplinary Optimization
E. Cramer
,
J. Dennis
,
P. Frank
,
R. Lewis
,
G. R. Shubin
SIAM J. Optim.
1994
Corpus ID: 14590794
This paper is about multidisciplinary (design) optimization, or MDO, the coupling of two or more analysis disciplines with…
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Highly Cited
1992
Highly Cited
1992
Equivalent differentiable optimization problems and descent methods for asymmetric variational inequality problems
M. Fukushima
Math. Program.
1992
Corpus ID: 206799821
Whether or not the general asymmetric variational inequality problem can be formulated as a differentiable optimization problem…
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Highly Cited
1981
Highly Cited
1981
Pattern Recognition with Fuzzy Objective Function Algorithms
J. Bezdek
Advanced Applications in Pattern Recognition
1981
Corpus ID: 30806637
New updated! The latest book from a very famous author finally comes out. Book of pattern recognition with fuzzy objective…
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