By Fengrui Wang, Wenhong Wang, Quanke Pan, Fengchao Zuo (auth.), Zhihua Cai, Zhenhua Li, Zhuo Kang, Yong Liu (eds.)
Volumes CCIS fifty one and LNCS 5812 represent the court cases of the Fourth Interational Symposium on Intelligence Computation and purposes, ISICA 2009, held in Huangshi, China, in the course of October 23-25.
ISICA 2009 attracted over three hundred submissions. via rigorous reports, fifty eight papers have been integrated in LNCS 5821,and fifty four papers have been amassed in CCIS fifty one. ISICA meetings are one of many first sequence of overseas meetings on computational intelligence that mix parts of studying, edition, evolution and fuzzy common sense to create courses as substitute suggestions to synthetic intelligence.
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Additional info for Advances in Computation and Intelligence: 4th International Symposium, ISICA 2009 Huangshi, China, Ocotober 23-25, 2009 Proceedings
Zhang and Z. 5). Even if the communication cost increased during migration, high-speed shared memory in each thread block keeps it minimized, much less than the cost of high-speed network. For a further improvement, we stored several variables, like time of evolution, migration rate, migration interval, and so on, which won’t alter during evolution phase and needs to access frequently, in constant memory of CUDA, of which the speed is faster than global memory. 5 Conclusion The unique thread hierarchy and memory hierarchy of CUDA overcome the effect of the increasing connectivity accompanied by increasing communication cost, and I/O concurrency conflict, therefore, improving the performance of parallelization.
In summary, the decision belongs to typical locationallocation problem, therefore the vehicle routing problem is not deeply considered. 3 Model Formulation Prior to developing the mixed-integer programming model for medical waste reverse logistics network design, we made the following underlying assumptions and simplifications: (1)the given medical materials producer has only one factory in this area, Network Model and Optimization of Medical Waste Reverse Logistics 43 and this factory has decided to adopt the self-supporting reverse logistics mode; (2)the medical waste which has been processed by all processing centers will be transported to the factory, that means this recycling supply chain is a closed loop considering both forward and reverse logistics; (3)the mounts of medical waste generated from each hospital are independent; (4) the cost structures for transportation, operation and other fixed cost are known for dealing with the multiple types of medial wastes, especially, the operation costs include all the storage cost and other costs for the management of the medical waste; (5)the discarding ratios of medical waste in all collecting centers are the same, and the processing centers likewise; (7)the capacity of the given factory is limitless.
Each thread within the block can be identified by a multi-dimension index accessible within the kernel through the built-in threadIdx variable, and each block identified by the build-in blockIdx variable, the dimension of the thread block is accessible through the build-in blockDim. x ⎪ thread ( x, y, z ) = ⎨ y = blockIdx. y * blockDim. y + threadIdx. z ⎩ Now we can identify each thread, just as we conveyed above, each thread within a block shared a high-speed shared memory, but how fast it is exactly?