The relative importance of the two main cranial complexes, the neurocranium and the splanchnocranium, has been examined in the five species of extant hominoids and in a huge sample of extinct hominins using six standard craniometric variables that measure the length, width and height of each cranial module. Factor analysis and two-block partial least squares were used for establishing the major...

Using a nonadditive set function to describe the interaction among attributes, a new nonlinear nonnegative multiregression is established based on Choquet integrals with respect to the set function. Regarding the values of the set function as unknown regression parameters, an evolutionary computation can be used to determine them when necessary data are available. Such a model is a generalizati...

This paper presents a convergence theory for evolutionary pattern search algorithms (EP-SAs). EPSAs are self-adapting evolutionary algorithms that modify the step size of the mutation operator in response to the success of previous optimization steps. Previously, we have proven a stationary point convergence theory for EPSAs for which the step size is not allowed to increase. The present analys...

Nested structure, which is non-random, controls cooperation dynamics and biodiversity in plant-animal mutualistic networks. This structural pattern has been explained in a static (non-growth) network models. However, evolutionary processes might also influence the formation of such a structural pattern. We thereby propose an evolving network model for plant-animal interactions and show that non...

Spatially structured models of host-parasitoid interactions exhibit self-structuring into spatial patterns such as spiral waves and turbulence. We discuss the consequences of these patterns in an eco-evolutionary model of host-parasitoid interactions with evolution of the parasitoids' ability to disperse towards dense populations of hosts (termed the aggregation strength). It turns out that the...

Several modifications of the famous mathematical “Game of Life” are introduced by making “Game of Life” rules stochastic and mutual influence of cells in their 8-neighborhood on a rectangular lattice spatially non-uniform. Results are reported of experimental investigation of evolutionary dynamics of the introduced models. A number of new phenomena in the evolutionary dynamics of the models and...

We study behavioural patterns learned by a robotic agent by means of two different control and adaptive approaches — a radial basis function neural network trained by evolutionary algorithm, and a traditional reinforcement Qlearning algorithm. In both cases, a set of rules controlling the agent is derived from the learned controllers, and these sets are compared. It is shown that both procedure...

This paper introduces a new approach, called recurring multistage evolutionary algorithm (RMEA), to balance the explorative and exploitative features of the conventional evolutionary algorithm. Unlike most previous work, the basis of RMEA is repeated and alternated executions of two different stages i.e. exploration and exploitation during evolution. RMEA uses dissimilar information across the ...

Growth grammars in the form of parallel rewrite systems (Lsystems) are used to model morphogenetic processes of plant structures. With the help of evolutionary programming techniques developmental programs are bred which encode plants that exhibit characteristic growth patterns advantageous in competitive environments. Program evolution is demonstrated on the basis of extended genetic programmi...

This paper explores temporal and spatial dynamics of a population of Genetic Regulatory Networks (GRN). In order to so, a GRN model is spatially distributed to solve a multi-cellular Artificial Embryogeny problem, and Evolutionary Computation is used to optimize the developmental sequences. An in-depth analysis is provided and show that such a population of GRN display strong spatial synchroniz...