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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… Expand
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Papers overview

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2019
2019
Abstract The connection weights parameters play important roles in adjusting the performance of PID neural network (PIDNN) for… Expand
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2018
2018
In a world where products get obsolescent ever more quickly, discarded devices produce million tons of electronic waste… Expand
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2016
2016
A bstractWe study the backreaction of smeared and localised anti M2-branes placed at the tip of the CGLP background. To this end… Expand
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2016
2016
As a recently developed evolutionary algorithm inspired by far-from-equilibrium dynamics of self-organized criticality, extremal… Expand
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Highly Cited
2015
Highly Cited
2015
Design of an effective and efficient fractional order PID (FOPID) controller, as a generalization of a standard PID controller… Expand
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Highly Cited
2010
Highly Cited
2010
Particle swarm optimization (PSO) has received increasing interest from the optimization community due to its simplicity in… Expand
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Highly Cited
2006
Highly Cited
2006
In recent years, the cross-entropy method has been successfully applied to a wide range of discrete optimization tasks. In this… Expand
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2002
2002
Extremal optimization, a recently introduced meta-heuristic for hard optimization problems, is analysed on a simple model of… Expand
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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… Expand
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1999
1999
We explore a new general-purpose heuristic for finding high-quality solutions to hard optimization problems. The method, called… Expand
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