Extremal optimization

Known as: EO 
Extremal optimization (EO) is an optimization heuristic inspired by the Bak–Sneppen model of self-organized criticality from the field of statistical… (More)
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Topic mentions per year

Topic mentions per year

1966-2017
0102019662017

Papers overview

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2010
2010
Particle swarm optimization (PSO) has received increasing interest from the optimization community due to its simplicity in… (More)
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2007
2007
In recent years, a general-purpose local-search heuristic method called Extremal Optimization (EO) has been successfully applied… (More)
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2007
2007
  • CHEN Min-rong, LU Yong-zai, YANG Gen-ke
  • 2007
In this paper, we extend a novel unconstrained multiobjective optimization algorithm, so-called multiobjective extremal… (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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2004
2004
We describe the recently introduced extremal optimization algorithm and apply it to target detection and association problems… (More)
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Highly Cited
2001
Highly Cited
2001
We explore a new general-purpose heuristic for finding high-quality solutions to hard discrete optimization problems. The method… (More)
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Highly Cited
2001
Highly Cited
2001
Extremal optimization is a new general-purpose method for approximating solutions to hard optimization problems. We study the… (More)
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Highly Cited
2000
Highly Cited
2000
  • Stefan Boett, ‘Allen G. Percust
  • 2000
We describe a general-purpose method for finding high-quality solutions to hard optimization problems, inspired by self-organized… (More)
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Highly Cited
2000
Highly Cited
2000
We propose a general-purpose method for finding high-quality solutions to hard optimization problems, inspired by self-organizing… (More)
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2000
2000
gates on a single integrated circuit, so you have to partition the gates between separate circuits. Let's assume that you are… (More)
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