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We examine the efficiency and accuracy of the IMC and SIMC methods for test problems involving the evolution of a collisionally pumped trapping problem to its steady-state, the surface heating of a cold medium by a beam, and the diffusion of energy from a localized region that is collisionally pumped.
The target search problem was reduced to random walk trapping problem with boundary and multiple traps.
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Nevertheless, GSA still has some disadvantages such as slow convergence speed and local optima trapping problems.
This profile overcomes the pressure trapping problems of conventional double lip wipers, and is also shown to minimize leakage from the gland and dirt ingress into it.
Adaptive re-provisioning of the failed connection minimizes the trap problem.
However, they often suffer from two difficulties, the curse of dimensionality and the local-trap problem.
In order to overcome the local-trap problem and avoid premature convergence, a novel selection operator is designed.
To minimize the redundant backup resources and the trap problem, a mixed connection recovery algorithm namely Adaptive Backup Routing over Reserved Resources (ABRRR) has been proposed.
Differing from other shared-path protection algorithms, which are called two-step approach (TSA), SAB not only can solve the trap problem but also find K path pairs and select an optimal path pair as the result.
The main flaw of these strategies is the requirement of redundant network resources towards the establishment of backup lightpaths, and the occurrence of trap problem after the second link fails.
In order to obtain better performances, in SPLB first we consider the techniques of cross-sharing and self-sharing to improve the resource utilization ratio, second we propose a segment protection routing algorithm to overcome the trap problem, and third we design a load balancing method to reduce the blocking probability.
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