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3D container loading problem (3D-CLP) is a classic NP-hard optimization problem. Although computer scientists and discrete mathematicians have studied this problem for decades, there are still some unsolved puzzles, such as multi-constrained 3D container loading optimization. Moreover, with the rapid development of modern logistics, several new 3D container-loading related problems emerged, such as...
Grey Wolf Optimizer (GWO) is a new meta-heuristic optimization. It is inspired by the unique predator strategy and organization system of grey wolves. Since the GWO algorithm is easy to fall into local optimum especially when it is used in the high-dimensional data, an improved GWO algorithm combined with Cuckoo Search (CS) is proposed in this paper. By introducing the global-search ability of CS...
The optimized metasurface layer is introduced into antenna design, which is generated by dividing a 2-D rectangular area into some grids, then the initial 2-D chromosome population is produced randomly. The size of population is the number of grids, “1” represent the metallized areas and “0” represent the areas without metal. Based on this model, we optimized two parasitic metasurface layer under...
An improved low profile CP directional antenna with high gain is proposed, which combines the equiangular spiral antenna, ground and two discrete grid parasitic layers. Every rectangular element in the grid layer is expressed by its code height i(j.k) in 0.9∼1.1, so that the whole antenna can be achieved by optimizing all these parameters. Later, the optimized low profile CP directional antenna is...
The traditional search engines rarely consider features of the document set, so the retrieval results are not so satisfactory after new documents are added into the retrieval system. In this paper we combine the features of document set with traditional retrieval models and propose an incremental learning strategy to optimize the retrieval results. We got a feature thesaurus by extracting the document...
An iterative constellation optimization algorithm is used to find new 16-ary Quadrature Amplitude Modulation (QAM) constellations. The constellations double phase noise tolerance and improve receiver sensitivity by up to 0.3 dB compared to the square 16-QAM constellation.
Hybrid flow shop scheduling problem (HFSP) is characterized as the scheduling of jobs in a flow shop environment where, at any stage, there may exist multiple machines. Besides the finishing time of the last job, energy consumption is another important factor affecting economy benefit of hybrid flow shop. A mixed-integer nonlinear programming model is established for the HFSP with minimizing the energy...
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