(i) We investigate spectral and geometric properties of the mutation-crossover operator in a
genetic algorithm with general-size alphabet. By computing spectral estimates, we show …

We study self-replicating molecules under externally varying conditions. Changing
conditions such as temperature variations and/or alterations in the environment's resource …

We present a theoretical framework for an asymptotically converging, scaled genetic
algorithm which uses an arbitrary-size alphabet and common scaled genetic operators. The …

An Indexed Bibliography of Genetic Algorithms Theory and Comparisons Page 1 An Indexed
Bibliography of Genetic Algorithms Theory and Comparisons compiled by Jarmo T. Alander …

We discuss stochastic modeling of scaled coevolutionary genetic algorithms (coev GA)
which converge asymptotically to global optima. In our setting, populations contain several …

We present a self-contained theoretical framework for a scaled genetic algorithm over the
alphabet {0, 1} which converges asymptotically to global optima as anticipated by Davis and …

We discuss a converging'scaled coevolutionary genetic algorithm'(scGA) in a setting where
populations contain fixed numbers of interacting creatures of several types. The interaction …

We propose in this paper a processor architecture that supports multi instructions set
through run time functional assignment algorithm (RUNFA). The above processor, which is …

The quasispecies model is studied for the special case of externally varying replication
rates. Most emphasis is laid on periodic time dependencies, but other cases are considered …

We apply an artificial intelligence method based upon a distributed simple genetic algorithm
which optimizes by" learning from a mentor" to enhance the performance of the open …