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Global optimization

Known as: Global minimization, Global optimisation, Local minimization 
Global optimization is a branch of applied mathematics and numerical analysis that deals with the global optimization of a function or a set of… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide… Expand
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Review
2017
Review
2017
The Internet of Things (IoT) is entering the daily operation of many industries; applications include but are not limited to… Expand
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Highly Cited
2009
Highly Cited
2009
Syntax Tree Representation Algorithm 1 
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Highly Cited
2005
Highly Cited
2005
Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions… Expand
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Highly Cited
2001
Highly Cited
2001
We consider the problem of finding the unconstrained global minimum of a real-valued polynomial p(x): {\mathbb{R}}^n\to {\mathbb… Expand
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Highly Cited
1998
Highly Cited
1998
In many engineering optimization problems, the number of function evaluations is severely limited by time or cost. These problems… Expand
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Highly Cited
1998
Highly Cited
1998
The two dominant schemes for rule-learning, C4.5 and RIPPER, both operate in two stages. First they induce an initial rule set… Expand
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Highly Cited
1997
Highly Cited
1997
A new heuristic approach for minimizing possiblynonlinear and non-differentiable continuous spacefunctions is presented. By means… Expand
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Highly Cited
1992
Highly Cited
1992
  • E. Don Hansen
  • Pure and applied mathematics
  • 1992
  • Corpus ID: 123446486
Employing a closed set-theoretic foundation for interval computations, Global Optimization Using Interval Analysis simplifies… Expand
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Highly Cited
1990
Highly Cited
1990
This study develops a unifying approach to constrained global optimization. It provides insight into the underlying concepts and… Expand
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