18,322 research outputs found
High Energy pp Elastic Scattering in Condensate Enclosed Chiral Bag Model and TOTEM Elastic Measurements at LHC at 7 TeV
We study high energy and elastic
scattering in the TeV region based on an effective field theory model of the
proton. We phenomenologically investigate the main processes underlying elastic
scattering and quantitatively describe the measured elastic
d/dt at energies 7.0 TeV (LHC ), 1.96 TeV
(Tevatron ), and 0.630 TeV (SPS ). Finally, we give our prediction for elastic
d/dt at 14 TeV that will be measured by the TOTEM
Collaboration.Comment: Presented at EDS Blois 2013 (arXiv:1309.5705
Uncertainty And Evolutionary Optimization: A Novel Approach
Evolutionary algorithms (EA) have been widely accepted as efficient solvers
for complex real world optimization problems, including engineering
optimization. However, real world optimization problems often involve uncertain
environment including noisy and/or dynamic environments, which pose major
challenges to EA-based optimization. The presence of noise interferes with the
evaluation and the selection process of EA, and thus adversely affects its
performance. In addition, as presence of noise poses challenges to the
evaluation of the fitness function, it may need to be estimated instead of
being evaluated. Several existing approaches attempt to address this problem,
such as introduction of diversity (hyper mutation, random immigrants, special
operators) or incorporation of memory of the past (diploidy, case based
memory). However, these approaches fail to adequately address the problem. In
this paper we propose a Distributed Population Switching Evolutionary Algorithm
(DPSEA) method that addresses optimization of functions with noisy fitness
using a distributed population switching architecture, to simulate a
distributed self-adaptive memory of the solution space. Local regression is
used in the pseudo-populations to estimate the fitness. Successful applications
to benchmark test problems ascertain the proposed method's superior performance
in terms of both robustness and accuracy.Comment: In Proceedings of the The 9th IEEE Conference on Industrial
Electronics and Applications (ICIEA 2014), IEEE Press, pp. 988-983, 201
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