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To overcome the problem, this paper proposes a new efficiency algorithm based on the conventional ant colony optimization (ACO) to solve the communication network design when considering both economics and reliability.
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If the human race continues to expand at its current rate, some environmental scholars believe, we will need to embrace ever more exarkic strategies (car-sharing, public transportation, dense urban living, smart grids, computer-assisted efficiency algorithms) to survive.
In addition to its efficiency, our algorithm is the first exact algorithm that can solve a weighted t-cover hitting set problem.
Figure 6 shows the computational complexity comparison between the energy efficiency optimization algorithm and the other two baseline algorithms.
Especially in terms of power efficiency, this algorithm can beyond the performance of log-MAP algorithm.
Techniques for analyzing the efficiency of algorithms and designing efficient algorithms and data structures.
It can be concluded that the energy efficiency optimization algorithm proposed can get better results than the existing energy efficiency optimization algorithm, and has higher energy efficiency.
In the same spirit of exploiting structure to achieve computational efficiency, an algorithm for the numerical solution of a special class of frequency-dependent LMIs is presented.
In order to improve the applications' performance, high efficiency multicast algorithm is required.
Fig. 1 Energy efficiency optimization algorithm for carrier aggregation systems.
This might seriously affect the efficiency of Algorithm 1.1.
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