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ICAC
2009
IEEE
15 years 4 months ago
Applying genetic algorithms to decision making in autonomic computing systems
Increasingly, applications need to be able to self-reconï¬gure in response to changing requirements and environmental conditions. Autonomic computing has been proposed as a means...
Andres J. Ramirez, David B. Knoester, Betty H. C. ...
GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
15 years 4 months ago
On solving hierarchical problems with top down control
We review recent work on the Hierarchical-If-And-Only-If problem and present a new hierarchical problem, HIFF-M that does not fit with previous explanations for evolutionary diffi...
Susan Khor
CEC
2005
IEEE
15 years 3 months ago
A population-based, steady-state procedure for real-parameter optimization
Despite the existence of a number of procedures for real-parameter optimization using evolutionary algorithms, there is still a need of a systematic and unbiased comparison of diï...
Ankur Sinha, Santosh Tiwari, Kalyanmoy Deb
EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 3 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
15 years 3 months ago
The impact of cellular representation on finite state agents for prisoner's dilemma
The iterated prisoner’s dilemma is a widely used computational model of cooperation and conflict. Many studies report emergent cooperation in populations of agents trained to p...
Daniel A. Ashlock, Eun-Youn Kim