Sarcoptic mange in wild ungulates in the European Alps - A systematic review.

Sarcoptic mange, caused by , is a disease that affects many species of mammals, including several wild ungulate species in the region of the European Alps, especially the Alpine chamois and the Alpine ibex, which act as parasite reservoirs. Here records of mange in alpine wild ungulates and its spread over time across the eastern parts of the European Alps are reviewed. First cases were recorded from Austria in 1824, and epizootic outbreaks have been described since then from the mountainous regions of Austria (mostly Tyrol, Carinthia, and Styria), Germany (Bavaria), Italy (Udine and Trentino) and Slovenia.

Spatiotemporal cluster and incidence analysis of cattle mortality caused by bovine babesiosis in Styria, Austria, between 1998 and 2016.

Reported fatal cases of bovine babesiosis (syn.: piroplasmosis, red water fever) in cattle were analyzed to identify spatial and temporal clusters of their incidence in the Austrian province of Styria. Data were collected within a governmental babesiosis compensation program.

The Set-Based Hypervolume Newton Method for Bi-Objective Optimization.

In this paper, we propagate the use of a set-based Newton method that enables computing a finite size approximation of the Pareto front (PF) of a given twice continuously differentiable bi-objective optimization problem (BOP). To this end, we first derive analytically the Hessian matrix of the hypervolume indicator, a widely used performance indicator for PF approximation sets. Based on this, we propose the hypervolume Newton method (HNM) for hypervolume maximization of a given set of candidate solutions.

Search Dynamics on Multimodal Multiobjective Problems.

We continue recent work on the definition of multimodality in multiobjective optimization (MO) and the introduction of a test bed for multimodal MO problems. This goes beyond well-known diversity maintenance approaches but instead focuses on the landscape topology induced by the objective functions. More general multimodal MO problems are considered by allowing ellipsoid contours for single-objective subproblems.

A tutorial on multiobjective optimization: fundamentals and evolutionary methods.

In almost no other field of computer science, the idea of using bio-inspired search paradigms has been so useful as in solving multiobjective optimization problems. The idea of using a population of search agents that collectively approximate the Pareto front resonates well with processes in natural evolution, immune systems, and swarm intelligence. Methods such as NSGA-II, SPEA2, SMS-EMOA, MOPSO, and MOEA/D became standard solvers when it comes to solving multiobjective optimization problems.