A multivariate approach involves varying number of objectives to be satisfied simultaneously in testing process. An evolutionary approach, genetic algorithm is taken for solving multivariate problems in software engineering. The Multivariate Optimization Problem (MOP) has a set of solutions, each of which satisfies the objectives at an acceptable level. Another evolutionary algorithm named SBGA...

Evolutionary algorithms work in an algorithmically simple manner. When put to work they produce a vast amount of data. Apart from simple convergence information it is a non-trivial task to extract useful information from those data to provide insight into the state and progress of the evolutionary algorithm. In this presentation we outline a set of standard visualization techniques for differen...

In multi-domain networks, the efficiency of path computation becomes more and important. The Inter-Domain Path Computation under Node-defined Domain Uniqueness Constraint (IDPC-NDU) is a recently investigated problem where its objective to determine effective routing between two nodes that traverses every domain at most once. IDPC-NDU NP-Hard, so approximation approaches are suitable deal with ...

High efficient routing is an important issue for the design of wireless sensor network (WSN) protocols to meet the severe hardware and resource constraints. This paper presents an inclusive evolutionary reinforcement method. The proposed approach is a combination of Cellular Automata (CA) and Ant Colony Optimization (ACO) techniques in order to create collision-free trajectories for every agent...

In this paper we introduce new, bacterial evolutionary algorithm (BEA) based methods for routing unicast and multicast demands in grooming capable multi-layer optical wavelength division multiplexing (WDM) networks. The methods introduced are compared with both well known heuristic methods, accumulative shortest path heuristic (ASP) and minimum path heuristic (MPH), and as well as with ILP. We ...

UNLABELLED Phylogenetic Analysis Task in Husar (PATH) is a task for the inference of phylogenies. It executes three phylogenetic methods and automatically chooses the evolutionary model for each set of data. The output of the tasks shows the consensus trees together with full results obtained from all executed methods. AVAILABILITY PATH is available at the German EMBnet node after registratio...

political participation is considered as the conscious involvement of people in the accomplishment of their affairs and improvement of their social life. political participation can be assumed in different degrees and can manifest itself in such forms like cooperation, collaboration, solidarity, conformity, adaptation and acceptance. participation is a process that occurs across the time and th...

The study of automatically generate test data based on evolutionary algorithm method focuseson the path coverage direction. The key problem is how to construct a suitable and has a good orientation of the fitness function to evaluate the quality of a test data. This paper introduces several evolution test methods, shows its advantages and problemsit can effectively solve, and proposesan improve...