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This paper presents a path planning and collision avoidance method based on artificial bee colony (ABC) optimization algorithm for multi-robot systems. Standard ABC algorithm can find a proper way for the robots quickly, but it still has shortcomings. An improved artificial bee colony optimization algorithm (IABC) is proposed to plan a reasonable collision-free path for each robot of a multi-robot...
Though thin film silicon has evolved into an important technology for photovoltaic industry, further increasing its conversion efficiency remains to be a key task. In this work, we report the progress we have made in developing compatible nanocrystalline Si (nc-Si) technology with our existing amorphous silicon germanium (a-SiGe) based multi-junction solar cell manufacturing lines. We have conducted...
Optimal assigning jobs to resources is an important problem in grid computing. Now grid scheduling policies are mostly traditional heuristic algorithms for scheduling n independent tasks on m processors in early finishing time. However grids have developed to wide area, heterogeneous and non autonomous environments, business objective also became crucial for the success of the scheduling. Therefore...
In this paper, a framework for reducing power during behavioral synthesis is proposed. A new parameter called Cycle Power Product (CPP) is defined which captures the power characteristics as an equally weighted sum of normalized mean cycle power. To minimize this parameter uses multiple supply voltages and dynamic frequency clocking and results in reduction of both energy and transient power. The...
Branch and bound for semi-supervised support vector machines as an exact, globally optimal solution is useful for benchmarking different practical S3VM implementation. But, global optimization can be computationally very demanding. Parallel implementation of the algorithm enables us to reduce computational time significantly and to solve larger problems. Focusing on the time consuming problem of BBS3VM,...
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