Evolutionary algorithm for optimization of cargo transport between two locations with a group of vehicles

This thesis deals with the optimization of heterogeneous cargo transport between two locations with a group of vehicles. With the increasing size the problem becomes too complex to be solved with deterministic algorithms. Therefore we designed an evolutionary algorithm which belongs to the family of stochastic algorithms. This kind of algorithms is used for solving problems whose solving time with deterministic algorithms would be unacceptable. A disadvantage of stochastic algorithms is that they frequently do not find the optimal solution. Usually they find a suboptimal solution which is a local optimum of the evaluation function. In this thesis we describe the optimization of heterogeneous cargo transport between two locations with a group of vehicles. We begin by formally defining the problem in terms of cargo and vehicle characteristics. Then we present the evolutionary algorithm characteristics and their examples: genetic algorithms, evolutionary strategies, evolutionary programming, genetic programming and differential evolution. Next we describe the evolutionary algorithm implemented to solve the presented problem which was tested with the predefined parameter values on four test problems. The results were compared with those of the greedy algorithm. The evolutionary algorithm mostly found better results than the greedy algorithm. The algorithm parameters were tuned with a metaevolutionary algorithm which is also described. At the end we present the results obtained with the metaevolutionary algorithm, their comparison with the results of the greedy algorithm and the future work

0:1 virtual-real duel

In this paper we will present a complex system of new technology uses in dance and video. It is a system that allows interaction between the recorded videos and dancing with the help of two computers, four monitors, webcam, projector and Wii remote. The interaction is happening through the temporal and spatial manipulation of video outputs and real-time processing of followed movements. For realisation of this project we used the existing systems, enabling the creation of diversified forms of VJ-ing (Visual Jockey methods), especially important is the VJ-ing on several monitors at once. Dancers entrance to the video space is allowed with the interaction through Wii remote, mobile multi-monitors and through the program, which tracks dancers motion through five markers

Design of an embedded manufacturing quality-control system based on computer vision and human cognitive skills

International audienceThe use of applications for automated inspection ofsemiproducts is increasing in various industries, includingthe automotive industry. This prestation presents the developmentof an application for automated visual detectionof irregularities on commutators that are parts of vehicle’sfuel pumps. Each type of irregularity is detected ona partition of the commutator image

Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint

The EU PlatformUptake project’s main goal is to investigate the usage of EU open and partly-open platforms in active and healthy aging (AHA) and ambient-assisted living (AAL) domains, from a software viewpoint. The aim of the project was to provide tools for a deeper interpretation and examination of the platforms, gather user feedback, and use it to improve the state-of-the-art approach in the AHA and AAL domains, and define instructions to enhance the platforms within the recommended order. The emphasis is on the software viewpoint for decision makers. In this paper, we present (i) the PlatformUptake methodology for AHA open platform assessments and its main objectives; (ii) clustering of the analyzed platforms; and (iii) the taxonomies generated from the text descriptions of the chosen platforms. With the use of the clustering tools, we present which platforms could be grouped together due to their similarities. Different numbers of clusters were obtained with two clustering approaches, resulting in the most informative two and four cluster groups. The platforms could be rather neatly presented in this way and, thus, potentially guide future platform structuring. Moreover, taxonomies, i.e., decision trees of platforms, were generated to easily determine each specific platform or to find platforms with the desired properties. Altogether, the computer comprehension of the platforms may be important additions to the human way of dealing with the AHA platforms, influencing future design, publications, related work, and research