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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

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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