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Evolution Strategies for Robust Optimization [PDF]

2006 IEEE International Conference on Evolutionary Computation, 2006
In this paper, we propose two evolutionary strategies for the optimization of problems with actuator noise as encountered in robust optimization, where the design or objective parameters are subject to noise: the ROSAES and the ROCSAES. Both algorithms use a control rule for increasing the population size when the residual error to the optimizer state ...
Hans-Georg Beyer, Bernhard Sendhoff
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Robustness during Network Evolution

2009 International Conference on Complex, Intelligent and Software Intensive Systems, 2009
Robust networks can maintain their characteristics under perturbation, which is rooted in the different topology structure.However, previous study of the relationship between network robustness and topology structure is based on a static context. We study the effects of network topology on the network robustness from an dynamic points of view.
Chunquan He, Qingsheng Ren
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Redundant genes and the evolution of robustness

Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006
In this paper we demonstrate that pressure for robustness combined with function sets containing redundant genes can cause an evolutionary system to avoid a more fit solution in favor of a more robust solution. It is also shown that this trend depends significantly on the mutation rate used.
Russell Thomason, Terence Soule
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RECURRENCE NETWORKS: EVOLUTION AND ROBUSTNESS

International Journal of Bifurcation and Chaos, 2011
We analyze networks generated by the recurrence plots of the time series of chaotic systems and study their properties, evolution and robustness against several types of attacks. Evolving recurrence networks obtained from chaotic systems display interesting features from the point of view of robustness (in particular, those related to their ...
Karmen Poljansek, J.M. Zaldívar, Fernanda Strozzi, Eugenio Gutiérrez, Flavio Bono   +4 more
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Robust Evolution in Historical Time

International Philosophical Quarterly, 2020
The normalized, deterministic conception of evolution espoused by Dennett is increasingly being challenged by theorists who, following Gould, emphasize the role that historical contingencies play in it. I explore the conflict between these views and argue that correcting our understanding of the relationship between nature’s systematic necessities and ...
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Evolution of robust and efficient system topologies

Cellular Immunology, 2006
Mutation/selection algorithms were applied to increase the efficiency and the robustness of sparse random networks. Selection for better efficiency leads to the well-known star topology, while selection for robustness only results in a relatively dense core and a small periphery.
Sergiu Netotea, Sándor Pongor, Sándor Pongor   +2 more
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Evolution of Robustness in an Electronics Design

2000
Evolutionary algorithms can design electronic circuits that conventional design methods cannot, because they can craft an emergent behaviour without the need for a detailed model of how the behaviours of the components affect the overall behaviour. However, the absence of such a model makes the achievement of robustness to variations in temperature ...
Paul J. Layzell, Adrian Thompson
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Evolution and palaeobiology of robust Australopithecus

Nature, 1987
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