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Borrowing ideas from shallow water wave theory, water wave optimization (WWO) is a new evolutionary algorithm that uses three wave-inspired operators including propagation, refraction, and breaking for effectively exploring a high-dimensional solution space of an optimization problem. In this paper we develop a simplified version of WWO (SimWWO) by leaving out the refraction operator and introducing...
This paper considers distributed linear beamforming in downlink multicell multiuser orthogonal frequency-division multiple access networks. A fast convergent solution maximizing the weighted sum-rate with per base station (BS) transmiting power constraint is formulated. We approximate the noncon-vex weighted sum-rate maximization (WSRM) problem with a semidefinite relaxed solvable convex form by means...
Probabilistic Analytical Target Cascading (PATC) is developed for hierarchical multi-disciplinary design optimization under random uncertainty. In this method, to let all parts of the designed system work well together, coordination strategies should be used. Traditionally, consistency constraints (equality constraints) are formulated as inequality constraints by adding corresponding parameters which...
In this paper, considering both of access efficiency, order-picking and storage-space cost, a Evolutionary Algorithm Inspired Particle Swarm Optimization (EA-PSO) Algorithm is developed to solve the Warehouse Allocation Problem. Based on the Warehouse Storage Policy, a Class-based storage method is proposed. Moreover, during the procedures goods are ordered by their cube per order index (COI), and...
A multi-bandwidth based tracking algorithm was proposed to search for the global kernel mode when the probability density has multiple peak modes. Firstly, a monotonically decreasing sequence of bandwidths was fixed according to the target scale. At each bandwidth, using mean shift to find out the maximum probability, and starting the next iteration at the previous convergence location. Finally, the...
The Flush Airdata Sensing (FADS) system and its pressure model are presented briefly. The improved algorithm for calculating the impact pressure, static pressure and modifying coefficient are studied. First, the non-linear equations are simplified using Moore-Penrose inverse. Then the impact pressure and static pressure are computed with the improved iteration and BP neural network. Both the two improved...
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