Continuous optimization

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

Related topics

Related topics

9 relations
Bees algorithmCMA-ESCross-entropy methodDiscrete optimization
(More)

Broader (1)

Mathematical optimization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Model-based methods for continuous and discrete global optimization
The use of surrogate models is a standard method to deal with complex, realworld optimization problems. The first surrogate… (More)
  • figure 1
  • figure 2
  • table 1
  • figure 3
Is this relevant?
Highly Cited
2012
Highly Cited
2012
Discrete-continuous optimization for multi-target tracking
The problem of multi-target tracking is comprised of two distinct, but tightly coupled challenges: (i) the naturally discrete… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2012
Highly Cited
2012
Multiobjective firefly algorithm for continuous optimization
Design problems in industrial engineering often involve a large number of design variables with multiple objectives, under… (More)
  • table 1
  • figure 1
  • figure 2
  • table 2
  • figure 3
Is this relevant?
Highly Cited
2009
Highly Cited
2009
Firefly Algorithm for Continuous Constrained Optimization Tasks
The paper provides an insight into the improved novel metaheuristics of the Firefly Algorithm for constrained continuous… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
Is this relevant?
Highly Cited
2008
Highly Cited
2008
Ant colony optimization for continuous domains
In this paper we present an extension of Ant Colony Optimization (ACO) to continuous domains. We show how ACO, which was… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
Is this relevant?
Highly Cited
2008
Highly Cited
2008
FusionFlow: Discrete-continuous optimization for optical flow estimation
Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 6
Is this relevant?
Highly Cited
2007
Highly Cited
2007
An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network training
Ant colony optimization (ACO) is an optimization technique that was inspired by the foraging behaviour of real ant colonies… (More)
  • figure 2
  • figure 3
  • figure 4
  • figure 5
  • table 1
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Particle swarm and ant colony algorithms hybridized for improved continuous optimization
This paper proposes PSACO (particle swarm ant colony optimization) algorithm for highly non-convex optimization problems. Both… (More)
  • figure 1
  • figure 2
  • table 2
  • table 3
  • table 4
Is this relevant?
Highly Cited
2004
Highly Cited
2004
The Cross-Entropy Method for Continuous Multi-extremal Optimization
In recent years, the cross-entropy method has been successfully applied to a wide range of discrete optimization tasks. In this… (More)
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • table 2
Is this relevant?
Highly Cited
2003
Highly Cited
2003
Continuous program optimization: A case study
Much of the software in everyday operation is not making optimal use of the hardware on which it actually runs. Among the reasons… (More)
  • figure 1
  • table I
  • table II
  • figure 2
  • figure 3
Is this relevant?