In many applications of constrained continuous black box optimization, the evaluation of fitness and feasibility is expensive. Hence, the objective of reducing the constraint function calls remains a challenging research topic. In the past, various surrogate models have been proposed to solve this issue. In this paper, a local surrogate model of feasibility for a self-adaptive evolution strateg...

Highly dynamic software systems are applications whose operations are particularly affected by changing requirements and uncertainty in their execution environments. Ideally such systems must evolve while they execute. To achieve this, highly dynamic software systems must be instrumented with self-adaptation mechanisms to monitor selected requirements and environment conditions to assess the ne...

Enterprise Information Systems have to co-evolve with the enterprise they support. Their evolution is the one of an important software system. Software evolution should be addressed at all developpement phases in order to notably reduce costs (Lehman, 1996). The issue of software systems evolution has been addressed mainly at the code level. In this paper we present how evolution of enterprise ...

Evolution strategies with q-Gaussian mutation, which allows the self-adaptation of the mutation distribution shape, is proposed for dynamic optimization problems in this paper. In the proposed method, a real parameter q, which allows to smoothly control the shape of the mutation distribution, is encoded in the chromosome of the individuals and is allowed to evolve. In the experimental study, th...

We demonstrate that E×B shear, V_{E×B}^{'}, governs the dynamics of the cross phase of the peeling-ballooning-(PB-)mode-driven heat flux, and so determines the evolution from the edge-localized (ELMy) H mode to the quiescent (Q) H mode. A physics-based scaling of the critical E×B shearing rate (V_{E×B,cr}^{'}) for accessing the QH mode is predicted. The ELMy H mode to the QH-mode evolution is s...

One of the biggest challenges in obtaining truly autonomic, selfmanaged networks is to automate the process of software evolution, and in particular, the evolution of protocol implementations and configurations. Such networks ultimately require self-modifying, evolving protocol software. Otherwise humans must intervene in every situation that has not been anticipated at design time. For this to...

We consider the decoherence of phase space histories in quantum brownian motion models, consisting of a particle moving under a potential V (x) in contact with a heat bath of temperature T and dissipation constant γ in the Markovian regime. The evolution of the density operator for this system is thus described by a non-unitary master equation. The phase space histories are described by quasipr...

The theory of geometric phase is generalized to a cyclic evolution of the eigenspace of an invariant operator with N-fold degeneracy. The corresponding geometric phase is interpreted as a holonomy inherited from the universal Stiefel U(N) bundle over a Grassmann manifold. Most significantly, for an arbitrary initial state, this holonomy captures the inherent geometric feature of the state evolu...