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Residential demand response (DR) services have the great potential of growth, yet they are not adopted extensively. A comprehensive residential DR framework proposed in [2] connects utilities with DR participants via mobile apps, supports multiple DR programs, and enables fine-granulated control. In this paper, we focus on mathematical modeling and solutions for economically optimal operation for...
Stochastic ranking is a promising technique for handling constraints in constrained evolutionary optimization. In stochastic ranking, the comparison between a pair of individuals is randomly based on either their objective values or degrees of constraint violation according to a constant probability parameter. In this paper, an adaptive stochastic ranking mechanism is presented to solve constrained...
Heating, Ventilation and Air Conditioning (HVAC) system is largest energy consumer in buildings. Worldwide, buildings consume 20% of the total energy production. Therefore, increasing efficiency of the HVAC system will result in significant financial savings. As one solution, Thermal Energy Storage (TES) tanks are being utilized with buildings to store excess energy to be reused later. An optimal...
Imitating the antibody diversity maintaining mechanism of immune system to realize the global optimization is a target that the immune algorithm try to achieve. Based on the in-depth study of inhibition concentration mechanism, the global optimization characteristic of existing immune algorithm is analyzed, then a global conservation strategy for colony is proposed. Based on the strategy, the improved...
In this paper, we address the resource allocation (RA) problem for uplink single input multiple output (SIMO) single carrier frequency division multiple access (SC-FDMA). A novel RA algorithm for joint user scheduling and resource block allocation is presented. Particularly, with the aim of improving the spectral efficiency (SE) and reducing the computational complexity, a sub-optimal power projection...
We solve the power allocation problem for distributed antenna system (DAS) in [1] with a simple algorithm running in polynomial time. Simulations in two scenarios with single and three sectors per cell show that the proposed power allocation scheme in DAS achieves higher system capacity by 50.1%, and 45.9%, respectively, in comparison with macro base station. Our proposal provides a practical and...
Recent developments in the field of transmission line monitoring system have led to a renewed interest in wireless sensor networks, which is characterized by the strong real time, high reliability, adaptability, load balancing and so on. However, the bottleneck problem of network transmission which is likely to occur around the sink node must be taken into account. This paper proposes a new cross-layer...
The quality of accounting information depends on the design of corporate governance structure and its operational effect, but corporate governance structure will not realize its scheduled effect spontaneously, automatically and independently, it still relys on the optimization of corporate governance ecology system. Corporate governance ecology not only reflects the basic requirement of scientific...
In AUTOSAR system configuration phase, integrators face many challenges in determining the tradeoffs when mapping hundreds of software components to electronic control units (ECU), so finding a common method for this artificial process is very significant. In this paper, we provide an approach to help system integrators building a correct and efficient system configuration. In our method, nested software...
Particle swarm optimization (PSO) is a heuristic optimization technique that uses previous personal best experience and global best experience to search global optimal solutions. This paper studies the application of PSO techniques to multi-objective optimization using decomposition methods. A new decomposition-based multi-objective PSO algorithm is proposed, called MOPSO/D. It integrates PSO into...
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