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Influence of the Adaptive Saddle Slope Gradient on the Evolutionary Saddle Crossing Time

Łojek R.

Prace Naukowe Politechniki Warszawskiej. Elektronika

2009

z. 169

129-136

The ability to cross saddles separating adaptive optima is one of the most interesting features of adaptive processes. It is especially promising in the case of multimodal optimization. This contribution deals with the impact of the saddle slope gradient on the time of the saddle crossing. A suitable adaptive landscape with variable saddle parameters is proposed. A simple model of evolution with the real valued traits; proportional selection, normally distributed modifications and without recombination is used.

Adaptation Cost: what is the Repayment Time for the Evolutionary Saddle Crossings?

Galar R., Karcz-Dulęba I., Łojek R.

Prace Naukowe Politechniki Warszawskiej. Elektronika

2007

z. 160

91-98

It is usual to asses alternative optimization search algorithms in terms of the number of trials necessary to approach the optimum. In case of adaptive algorithms implemented in the real systems such assesment seems inadequate, as the loss of quality due to the exploration of the vicinity of the identified optimum should be also taken into account. We try to evaluate this aspect of adaptive search in the case of a path dependent evolution with proportional selection and normally distributed mutations, which involves saddle crossing in a bimodal adaptative landscape.