1,721,213 research outputs found
Viviani A., Golia C., Cioffi M. 1996 Magnetic effects on non-linear Marangoni flow in plane liquid bridges
No full textAnalytical Solution of Thermocapillary Flow and Interface Shape in Non-Isothermal Coaxial Liquid Columns
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Distributed Niching Concept for Electromagnetic Shape Optimization by Genetic Algorithm
No full textGenetic Algorithms are becoming a common tool for
optimal design applications, where, due to the multiple
solutions issue, global search techniques are required.
Anyway, when dealing with real problems, involving
several degrees of freedom, the actual computing power
restricts the global search ability.
The availability of cheap hardware has recently caused
the spreading of multiprocessors computing systems. In
particular, new genetic techniques have been proposed to
adapt the method’s characteristics to the parallel
architecture, allowing in this way also to deal with real
problems. One of these techniques, called niching
approach, can be implemented by dividing the population
into subgroups, and letting each group to evolve on one of
the processors, interacting only when scheduled.
Objective of this work is to discuss the perspectives of
niching approaches in the electromagnetic optimal design
applications. As an example case, preliminary results
about SMES (Superconducting Magnetic Energy Storage)
devices are proposed
Increasing design robustness in evolutionary optimisation
No full textThe role of the parameters uncertainness in the optimal design of electromagnetic devices is discussed and an efficient strategy to look for robustness of feasible solutions is proposed. A suitable modification of the objective function (OF) is used to rank different device configurations on the basis of their ability to maintain the required performances against small parameters modifications due to construction tolerances. In the frame of a genetic algorithm approach, the modified OF has been able to address the evolutionary optimisation towards more robust solutions
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