Evolution is one of the integral parts in the lifecycle of a process. Similar to software, a process often has to be modified in order to fulfill changed process requirements, or to correct problems that occurred during its enactment. Although currently changes are often implemented ad-hoc without uny consideration of side-effects and risks, it is obvious that such side-effects and especially t...

Several researchers have demonstrated how complex action sequences can be learned through neuro-evolution (i.e. evolving neural networks with genetic algorithms). However, complex general behavior such as evading predators or avoiding obstacles, which is not tied to speci c environments, turns out to be very di cult to evolve. Often the system discovers mechanical strategies (such as moving bac...

Evolution in changing environments is an important, but little studied aspect of the theory of evolution. The idea of adaptive walks in tness landscapes has triggered a vast amount of research and has led to many important insights about the progress of evolution. Nevertheless, the small step to time-dependent tness landscapes has most of the time not been taken. In this work, some elements of ...

Evolution strategies are a class of general optimisation algorithms which are applicable to functions that are multimodal, non-diierentiable, or even discontinuous. Although recombination operators have been introduced into evolution strategies, their primary search operator is still mutation. Classical evolution strategies rely on Gaussian mutations. A new mutation operator based on the Cauchy...

Article history: Received: 28.11.2012. Received in revised form: 04.01.2013. Accepted: 15.01.2013. The microstructural evolution of the coexistence of spinodal decomposition and ordering is characterized by metallographic microscopy and transmission electron microscopy in aged Fe-23Al (i.e. Fe-23at%Al) alloy. This paper discusses a phase transition mechanism of the microstructure evolution. The...

This paper describes a method for rendering search coordinate system independent, Adaptive Encoding. Adaptive Encoding is applicable to any iterative search algorithm and employs incremental changes of the representation of solutions. One attractive way to change the representation in the continuous domain is derived from Covariance Matrix Adaptation (CMA). In this case, adaptive encoding recov...

We review models of biological evolution in which the population frequency changes deterministically with time. If the population is selfreplicating, although the equations for simple prototypes can be linearised, nonlinear equations arise in many complex situations. For sexual populations, even in the simplest setting, the equations are necessarily nonlinear due to the mixing of the parental g...

Metamodel evolution requires model migration. To correctly migrate models, evolution needs to be made explicit. Manually describing evolution is error-prone and redundant. Metamodel matching offers a solution by automatically detecting evolution, but is only capable of detecting primitive evolution steps. In practice, primitive evolution steps are jointly applied to form a complex evolution ste...

Enabling process flexibility is crucial for any process-aware information system (PAIS). In particular, implemented processes may have to be frequently adapted to accommodate to changing environments and evolving needs. When evolving a PAIS, corresponding process schemas have to be changed in a controlled manner. In the context of object-aware processes, which are characterized by a tight integ...

This paper demonstrates that simple yet important characteristics of coevolution can occur in evolutionary algorithms when only a few conditions are met. We find that interaction-based fitness measurements such as fitness (linear) ranking allow for a form of coevolutionary dynamics that is observed when 1) changes are made in what solutions are able to interact during the ranking process and 2)...