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Joachim Vandekerckhove

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Research Group Quantitative and Personality Psychology, Department of Psychology, Catholic Universit

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02 Jun 2008 Screenshot General simulated annealing algorithm Minimizes a function with the method of simulated annealing Author: Joachim Vandekerckhove simulated annealing, optimization, stochastic optimizati..., anneal, simulation 136 35
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21 Apr 2009 General simulated annealing algorithm Minimizes a function with the method of simulated annealing Author: Joachim Vandekerckhove

Unless I'm misunderstanding, you can do that by defining the anonymous function dynamically, like so;

min2logL = @(x,y) x*log(y);
const = -2;
loss = @(p)min2logL(const,p);
[x f] = anneal(loss,[0 0])

... or similar.

-------------------------

Also, the link to the SA paper above is dead. Here is a new link:

http://www-stat.wharton.upenn.edu/~stroud/classics/KirkpatrickGelattVecchi83.pdf
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13 Jan 2012 General simulated annealing algorithm Minimizes a function with the method of simulated annealing Author: Joachim Vandekerckhove xj, LIAO
15 Aug 2011 General simulated annealing algorithm Minimizes a function with the method of simulated annealing Author: Joachim Vandekerckhove Manohar, Sanjay

Thanks so much! worked first time, out of the box, without modification to my previous code, to solve a family of problems that fminsearch could not. Which is better than most built-in matlab functions manage!
21 Oct 2010 General simulated annealing algorithm Minimizes a function with the method of simulated annealing Author: Joachim Vandekerckhove aymen

how we can adjust PID parameter by this algorithm
19 Oct 2010 General simulated annealing algorithm Minimizes a function with the method of simulated annealing Author: Joachim Vandekerckhove Nik

Can anybody suggest how to incorporate constraints (inequality/equality) to the optimization? Especially in a discrete space?

Thank you.
04 Aug 2010 General simulated annealing algorithm Minimizes a function with the method of simulated annealing Author: Joachim Vandekerckhove Brecht

An implementation of the SIMPSA algorithm, a combination of simulated annealing and the simplex algorithm, can be found here:

http://biomath.ugent.be/~brecht/downloads.html

The SIMPSA algorithm was developed and described in:

Cardoso, M. F., Salcedo, R., and Feyo de Azevedo, S. (1996). The simplex-simulated annealing approach to continuous non-linear optimization. Computers and Chemical Engineering, 20(9):1065-1080.
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anneal, optimization, simulated annealing, simulation, stochastic optimization
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02 Jun 2008 Screenshot General simulated annealing algorithm Minimizes a function with the method of simulated annealing Author: Joachim Vandekerckhove simulated annealing, optimization, stochastic optimizati..., anneal, simulation 136 35
  • 4.06897
4.1 | 29 ratings

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