Kursawe, F. (1993, November). Evolution Strategies -- Simple 'Models' of Natural Processes? Journal Internationale de Syst emique 7, N o 5, 627--642.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....(Back et al. 1997) and can serve as all purpose optimization methods solving even large scale optimization problems in academia and industry. On the other hand, they can as well be used to gain insight into the general principles of self adaptation and self organization in natural processes (Kursawe 1993). Together with Neural Networks and Fuzzy Logic, Evolutionary Computation forms part of the field Computational Intelligence (Zurada et al. 1994) but unlike Neural and Fuzzy Computation has not gained access to Environmental Decision Support Systems yet. During the last two decades, ....

Kursawe, F. (1993, November). Evolution Strategies -- Simple 'Models' of Natural Processes? Journal Internationale de Syst emique 7, N o 5, 627--642.

....sample. As you can see, the performance landscape in this metric space is quite rugged, so classical optimization techniques like gradient descent are likely to fail. One approach we explored to find a good distance metric was population hillclimbing (a variant on Evolutionary Strategies [3]) This technique consists of initializing a number of starting points in metric space, generating nearby points according to a Gaussian distribution centered around these points, and then selecting those points from the population with minimum error. This basic step is iterated until a certain ....

Kursawe, F. 1993. Evolution Strategies - Simple Models of Natural Processes? Revue Intl. de Systémique 7:627-642.

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