Continuous optimization

Continuous optimization is a branch of optimization in applied mathematics. As opposed to discrete optimization, the variables used in the objective… (More)
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Papers overview

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Review
2017
Review
2017
The use of surrogate models is a standard method to deal with complex, realworld optimization problems. The first surrogate… (More)
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Highly Cited
2012
Highly Cited
2012
The problem of multi-target tracking is comprised of two distinct, but tightly coupled challenges: (i) the naturally discrete… (More)
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Highly Cited
2012
Highly Cited
2012
Design problems in industrial engineering often involve a large number of design variables with multiple objectives, under… (More)
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Highly Cited
2009
Highly Cited
2009
The paper provides an insight into the improved novel metaheuristics of the Firefly Algorithm for constrained continuous… (More)
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Highly Cited
2008
Highly Cited
2008
In this paper we present an extension of Ant Colony Optimization (ACO) to continuous domains. We show how ACO, which was… (More)
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Highly Cited
2008
Highly Cited
2008
Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems… (More)
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Highly Cited
2007
Highly Cited
2007
Ant colony optimization (ACO) is an optimization technique that was inspired by the foraging behaviour of real ant colonies… (More)
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Highly Cited
2007
Highly Cited
2007
This paper proposes PSACO (particle swarm ant colony optimization) algorithm for highly non-convex optimization problems. Both… (More)
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Highly Cited
2004
Highly Cited
2004
In recent years, the cross-entropy method has been successfully applied to a wide range of discrete optimization tasks. In this… (More)
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Highly Cited
2003
Highly Cited
2003
Much of the software in everyday operation is not making optimal use of the hardware on which it actually runs. Among the reasons… (More)
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