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GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
15 years 2 months ago
Visualising random boolean network dynamics
We propose a simple approach to visualising the time behaviour of Random Boolean Networks (RBNs), and demonstrate the approach by examining the effect of canalising functions for ...
Susan Stepney
GECCO
2009
Springer
164views Optimization» more  GECCO 2009»
14 years 8 months ago
Solving iterated functions using genetic programming
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
Michael D. Schmidt, Hod Lipson
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
15 years 4 months ago
Visualizing the search process of particle swarm optimization
It is a hard problem to understand the search process of particle swarm optimization over high-dimensional domain. The visualization depicts the total search process and then it w...
Yong-Hyuk Kim, Kang Hoon Lee, Yourim Yoon
GECCO
2010
Springer
180views Optimization» more  GECCO 2010»
15 years 1 months ago
Comparison of NEWUOA with different numbers of interpolation points on the BBOB noisy testbed
In this paper, we study the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) with different numbers of interpolation points. NEWUOA is a trust region method, ...
Raymond Ros
GECCO
2010
Springer
347views Optimization» more  GECCO 2010»
15 years 3 days ago
Comparison of cauchy EDA and BIPOP-CMA-ES algorithms on the BBOB noiseless testbed
Estimation-of-distribution algorithm using Cauchy sampling distribution is compared with the bi-population CMA evolutionary strategy which was one of the best contenders in the bl...
Petr Posík