2,411 research outputs found
The Safe-Port project: an approach to port surveillance and protection
SAFE-PORT is a recently started project addressing the complex issue of determining the best configurations of resources for harbour and port surveillance and protection. More specifically, the main goal is to find, for any given scenario, an adequate set of configuration solutions — i.e., number and type of sensors and equipments, their locations and operating modes, the corresponding personnel and other support resources — that maximize protection over a specific area.
The project includes research and development of sensors models, novel algorithms for optimization and decision support, and a computer-based decision support system (DSS) to assist decision makers in that task. It includes also the development of a simulation environment for modelling relevant aspects of the scenario (including sensors used for surveillance, platforms, threats and the environment), capable to incorporate data from field-trials, used to test and validate solutions proposed by the DSS. Test cases will consider the use of intelligent agents to model the behaviour of threats and of NATO forces in a realistic way, following experts’ definitions and parameters
Towards the Evolution of Novel Vertical-Axis Wind Turbines
Renewable and sustainable energy is one of the most important challenges
currently facing mankind. Wind has made an increasing contribution to the
world's energy supply mix, but still remains a long way from reaching its full
potential. In this paper, we investigate the use of artificial evolution to
design vertical-axis wind turbine prototypes that are physically instantiated
and evaluated under approximated wind tunnel conditions. An artificial neural
network is used as a surrogate model to assist learning and found to reduce the
number of fabrications required to reach a higher aerodynamic efficiency,
resulting in an important cost reduction. Unlike in other approaches, such as
computational fluid dynamics simulations, no mathematical formulations are used
and no model assumptions are made.Comment: 14 pages, 11 figure
The Multiobjective Optimization of a Prismatic Drive
The multiobjective optimization of Slide-o-Cam is reported in this paper.
Slide-o-Cam is a cam mechanism with multiple rollers mounted on a common
translating follower. This transmission provides pure-rolling motion, thereby
reducing the friction of rack-and-pinions and linear drives. A Pareto frontier
is obtained by means of multiobjective optimization. This optimization is based
on three objective functions: (i) the pressure angle, which is a suitable
performance index for the transmission because it determines the amount of
force transmitted to the load vs. that transmitted to the machine frame; (ii)
the Hertz pressure used to evaluate the stresses produced on the contact
surface between cam and roller; and (iii) the size of the mechanism,
characterized by the number of cams and their width
Tutorials at PPSN 2016
PPSN 2016 hosts a total number of 16 tutorials covering a broad range of current research in evolutionary computation. The tutorials range from introductory to advanced and specialized but can all be attended without prior requirements. All PPSN attendees are cordially invited to take this opportunity to learn about ongoing research activities in our field
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