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This paper investigates a hybrid algorithm which utilizes exact and heuristic methods to optimise asset selection and capital allocation in portfolio optimisation. The proposed method is composed of a customised population based incremental learning procedure and a mathematical programming application. It is based on the standard Markowitz model with additional practical constraints such as cardinality...
In this paper, we study the uniqueness of a nontrivial solution for third-order nonlinear p-Laplacian m-point eigen-value problems on time scales. We obtain several sufficient conditions of the uniqueness of nontrivial solution. Our approach is based on the Leray-Schauder nonlinear alternative. A example to demonstrate our main result is also given.
Aiming at the disadvantage of Lanchester Equation of simple mathematical framework and ignoring the alternation of combatants and environment, an effective model reflecting the force attrition is proposed based on the analysis of physical meaning and campaign course of Lanchester linear law. The asymmetry information is introduced based on game theory in modeling combating process. The surveillance...
A simplified parallel finite difference time domain algorithm is brought out based on 1-ranked Debye equation by nonlinear levenberg-marquardt least-squares curve fitting method. A safety threshold with respect to spatial average and spatial peak specific absorption (SA) is proposed, a shielded cockpit glass construction is designed, and specific absorption calculation for pilot in an aircraft is...
The energy of node in Wireless Sensor Networks (WSN) is severely constrained, it is very important to maximize the network lifetime by reducing the data dissemination among the nodes. In order to enhance energy efficiency and prolong the system lifetime, a novel data gathering algorithm based on mutual supportability and grey prediction is presented. According to of nodes' the historical data, cluster...
In this paper, we try to proposal a new mechanism for optimizing the route of the Greedy parts of GPSR. By studying the GPSR, we find that the Greedy part of GPSR is not always to find the most optimized route, especially in the denser scenario. So according to this problem, we try to propose a mechanism to find an optimized route. In our proposal, we give out a formula to compute a unique value for...
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