Search

Aiming at the shortcomings of the basic Gravity search algorithm（GSA）, such as prone to premature maturity, easy to fall into local optimum, and lack an effective acceleration mechanism, this paper proposed a GSA（IABHGSA） based on the improved adaptive black hole mechanism. The algorithm used the improved Tent mapping to initialize the population, which makes the distribution of the initial population more random, uniform and traversal, and it enhanced the global exploration capability of the algorithm; The algorithm introduced an improved adaptive black hole mechanism and selected the position update strategy, according to the evolution of the particles, which makes the position update more reasonable, Effectively reduce the possibility of particles falling into local optima; Through the optimal and worst particle update strategy based on learning ideas, enhanced the algorithm’s ability to escape from local optima and improved the algorithm’s optimization speed; The algorithm introduced group migration to provide effective accelerated convergence mechanism for the algorithm. Finally, this paper selected 8 benchmark functions to test IABHGSA and compared with the experimental results of related algorithms, the results show that IABHGSA has better optimization performance. [ABSTRACT FROM AUTHOR]

Based on the weighted-point filling strategy, a novel gridless adaptive method is developed to capture shock waves with high resolutions in unsteady flows. The adaptive indicator E is the function of the local specified parameter gradients and the weight of points. The refining and coarsening regions are identified by the indicator, and then form refining cavities and coarse-ning cavities which are filled with new points. Using the predictor-corrector iterative algorithm, the weight of the new point is obtained by the adaptive indicator E and the local gradient. To pre-vent the violent change of the point weights with the parameter gradients, the maximum and the minimum are stipulated respectively in the filling process. The proposed adaptive method is first-ly used to fill points into the flow field which is set with designated pressure gradient in advance. By comparison with the traditional adaptive result, the sparse and dense distributions of clouds of points are more satisfactory and more reasonable. Further studies are the calculations of Riemann flow and incident shock past a cylinder. The results show that the adaptive method can capture the moving shock waves successfully in the unsteady flow fields with scanty points. For achieving equivalent pressure contours of the flow of the incident shock past a cylinder, the time spent using the presented adaptive method is 20. 6% of the conventional unadaptive method, which suggests that it has a definite advantage on the computational efficiency. [ABSTRACT FROM AUTHOR]

The SSC (short stroke control) is a key issue in the width control of the strip head end in hot tandem rolling process. In order to enhance the width precision， an SSC adaptive strategy was proposed， the objective function with the key points of the SSC curve and actual width error curve was founded， and in the process for looking for the optimal solution， the NM(Nelder-Mead) simplex algorithm was used， finally the optimized width compensation curve was received， and the SSC on-line adaptive strategy was realized with the exponential smoothing method. The adaptive strategy was successfully applied to a tandem hot mill， and the application result showed that the width deviation between the head end and the stable part can be controlled within 2.0mm， and the proportion is up to 90 %， which can meet the actual production， and has good application prospect. [ABSTRACT FROM AUTHOR]

Ｓｐｅｃｉｅｓ ｃｏ-ｅｘｉｓｔｅｎｃｅ ｍｅｃｈａｎｉｓｍｓ ｈａｖｅ ｌｏｎｇ ｂｅｅｎ ｏｎｅ ｏｆ ｔｈｅ ｃｏｒｅ ｔｏｐｉｃｓ ｉｎ ｃｏｍｍｕｎｉｔｙ ｅｃｏｌｏｇｙ. Ｔｏ ｅｘｐｌｏｒｅ ｔｈｅ ｃｈａｎｇｅｓ ｉｎ ｃｏｍｍｕｎｉｔｙ ｆｕｎｃｔｉｏｎａｌ ｄｉｖｅｒｓｉｔｙ ｏｆ Ｄｉｎｇｈｕｓｈａｎ ｅｖｅｒｇｒｅｅｎ ｂｒｏａｄ-ｌｅａｆ ｆｏｒｅｓｔ ｕｎｄｅｒ ｔｈｅ ｈｅｔｅｒｏｇｅｎｅｏｕｓ ｈａｂｉｔａｔｓ ａｎｄ ｔｏ ｆｉｎｄ ｏｕｔ ｔｈｅ ｍａｉｎ ｄｒｉｖｉｎｇ ｆａｃｔｏｒｓ ｏｆ ｔｈｅ ｆｕｎｃｔｉｏｎａｌ ｄｉｖｅｒｓｉｔｙ ｖａｒａｔｉｏｎｓ, ｂａｓｅｄ ｏｎ ｔｈｅ ｓｅｃｏｎｄ ｃｏｍｍｕｎｉｔｙ ｓｕｒｖｅｙ ｄａｔａ ｏｆ ｔｈｅ ２０ ｈｍ２ ｆｏｒｅｓｔ ｄｙｎａｍｉｃｓ ｐｌｏｔ ｉｎ Ｄｉｎｇｈｕｓｈａｎ Ｎａｔｉｏｎａｌ Ｎａｔｕｒｅ Ｒｅｓｅｒｖｅ, ２７ ｓｕｂｐｌｏｔｓ (２０ ｍ×２０ ｍ) ｗｅｒｅ ｓｅｌｅｃｔｅｄ ａｃｃｏｒｄｉｎｇ ｔｏ ｔｈｅ ｃｈａｎｇｅｓ ｏｆ ｒｅｌａｔｉｖｅ ｅｌｅｖａｔｉｏｎ ａｎｄ ｔｏｐｏｇｒａｐｈ. Ｔｈｅｓｅ ２７ ｓｕｂｐｌｏｔｓ ｃａｎ ｓｔａｎｄ ｆｏｒ ｔｈｅ ｈｅｔｅｒｏｇｅｎｅｏｕｓ ｈａｂｉｔａｔｓ ｉｎ Ｄｉｎｇｈｕｓｈａｎ ｅｖｅｒｇｒｅｅｎ ｂｒｏａｄ-ｌｅａｖｅｄ ｆｏｒｅｓｔ. Ｌｅａｆ ｆｕｎｃｔｉｏｎａｌ ｔｒａｉｔｓ ｏｆ ａｌｌ ｔｈｅ ｔｒｅｅｓ ｗｉｔｈ ＤＢＨ (ｄｉａｍｅｔｅｒ ａｔ ｂｒｅａｓｔ ｈｅｉｇｈｔ)≥１ ｃｍ ｉｎ ｔｈｅ ２７ ｓｕｂ-ｐｌｏｔｓ ｗｅｒｅ ｍｅａｓｕｒｅｄ ｔｏ ｃａｌｃｕｌａｔｅ ｔｈｅ ｆｕｎｃｔｉｏｎａｌ ｄｉｖｅｒｓｉｔｙ (ｆｕｎｃｔｉｏｎａｌ ｄｉｓｐｅｒｓｉｏｎ ａｎｄ ｃｏｍｍｕｎｉｔｙ ｗｅｉｇｈｔｅｄ ｍｅａｎ ａｒｅ ｃａｃｕｌａｔｅｄ ａｓ ｔｈｅ ｆｕｎｃｔｉｏｎａｌ ｄｉｖｅｒｓｉｔｙ ｉｎ ｔｈｉｓ ｐａｐｅｒ) ｄｕｒｉｎｇ ｔｈｅ ｓｕｍｍｅｒ ｏｆ ２０１３. Ｔｈｅ ｍｅａｓｕｒｅｄ ｔｒａｉｔｓ ｉｎｃｌｕｄｅｄ ｍｏｒｐｈｏｌｏｇｉｃａｌ ｔｒａｉｔｓ (ｓｐｅｃｉｆｉｃ ｌｅａｆ ａｒｅａ, ｌｅａｆ ｄｒｙ ｍａｔｔｅｒ ｃｏｎｔｅｎｔ, ｌｅａｆ ａｒｅａ ａｎｄ ｌｅａｆ ｌｅｎｔｈ ｔｏ ｌｅａｆ ｗｉｄｔｈ ｒａｔｉｏ) ａｎｄ ｓｔｏｉｃｈｉｏｍｅｔｒｉｃ ｔｒａｉｔｓ (ｌｅａｆ ｃａｒｂｏｎ, ｎｉｔｒｏｇｅｎ, ｐｈｏｓｐｈｏｒｕｓ ｃｏｎｔｅｎｔ). Ｃｏｍｂｉｎｉｎｇ ｗｉｔｈ ｔｈｅ ｔｏｐｏｇｒａｐｈｉｃ ａｎｄ ｓｏｉｌ ｉｎｆｏｒｍａｔｉｏｎ, ｗｅ ａｎａｌｙｓｅｄ ｔｈｅ ｍａｉｎ ｅｎｖｉｒｏｎｍｅｎｔａｌ ｆａｃｔｏｒｓ ｔｈａｔ ｉｎｆｌｕｅｎｃｅ ｔｈｅ ｖａｒｉａｔｉｏｎ ｏｆ ｆｕｎｃｔｉｏｎａｌ ｄｉｖｅｒｓｉｔｙ. Ｔｏ ｅｌｕｃｉｄａｔｅ ｔｈｅ ｒｅｌａｔｉｖｅ ｉｍｐｏｒｔａｎｃｅ ｏｆ ｅｎｖｉｒｏｎｍｅｎｔａｌ ｆｉｌｔｅｒｉｎｇ ａｎｄ ｃｏｍｐｅｔｉｔｉｖｅ ｉｎｔｅｒａｃｔｉｏｎｓ ｆｏｒ ｓｐｅｃｉｅｓ ｃｏ-ｅｘｉｓｔｅｎｃｅ ｏｆ Ｄｉｎｇｈｕｓｈａｎ ｅｖｅｒｇｒｅｅｎ ｂｒｏａｄ-ｌｅａｖｅｄ ｆｏｒｅｓｔ, ｗｅ ｉｎｆｅｒｒｅｄ ｔｈｅ ｓｈｉｆｔｓ ｉｎ ｆｕｎｃｔｉｏｎａｌ ｄｉｖｅｒｓｉｔｙ ｐａｔｔｅｒｎｓ ａｃｒｏｓｓ ｅｎｖｉｒｏｎｍｅｎｔａｌ ｇｒａｄｉｅｎｔｓ. Ｔｈｅ ｒｅｓｕｌｔｓ ｉｎｄｉｃａｔｅｄ ｔｈａｔ ｆｕｎｃｔｉｏｎａｌ ｄｉｖｅｒｇｅｎｃｅ ａｎｄ ｃｏｍｍｕｎｉｔｙ-ｗｅｉｇｈｔｅｄ ｍｅａｎ ｗｅｒｅ ｉｎ ｃｌｏｓｅ ｒｅｌａｔｉｏｎ ｗｉｔｈ ｅｎｖｉｒｏｎｍｅｎｔａｌ ｆａｃｔｏｒｓ, ｅｓｐｅｃｉａｌｌｙ ｅｌｅｖａｔｉｏｎ, ｃｏｎｖｅｘｉｔｙ ａｎｄ ｓｏｉｌ ｆｅｒｔｉｌｉｔｙ. Ｉｎ ｔｈｅ ｏｐｔｉｍａｌ ｅｎｖｉｒｏｎｍｅｎｔａｌ ｃｏｎｄｉｔｉｏｎｓ (ｈｉｇｈ ｒｅｌａｔｉｖｅ ｅｌｅｖａｔｉｏｎ, ｈｉｇｈ ｃｏｎｖｅｘｉｔｙ ａｎｄ ｈｉｇｈｅｒ ｓｏｉｌ ｎｕｔｒｉｅｎｔ ｃｏｎｔｅｎｔ), ｐｌａｎｔｓ ａｄｏｐｔ ｔｈｅ ｓｉｍｉｌａｒ (ｆｕｎｃｔｉｏｎａｌ ｄｉｖｅｒｇｅｎｃｅ ｄｅｃｒｅａｓｅｄ) ａｄａｐｔｉｖｅ ｓｔｒａｔｅｇｙ ｏｆ ｅｆｆｉｃｉｅｎｔ ｃｏｎｓｅｒｖａｔｉｏｎ ｏｆ ｎｕｔｒｉｅｎｔ (ｌｏｗ ＳＬＡ, ｈｉｇｈ ＬＤＭＣ), ｗｈｉｃｈ ｓｕｇｇｅｓｔｅｄ ｔｈａｔ ｅｎｖｉｒｏｎｍｅｎｔａｌ ｆｉｌｔｅｒｉｎｇ ｐｌａｙｅｄ ａ ｓｔｒｏｎｇｅｒ ｒｏｌｅꎻ ｗｈｉｌｅ ｉｎ ｔｈｅ ａｄｖｅｒｓｅ ｅｎｖｉｒｏｎｍｅｎｔａｌ ｃｏｎｄｉｔｉｏｎｓ (ｌｏｗ ｒｅｌａｔｉｖｅ ｅｌｅｖａｔｉｏｎ, ｌｏｗ ｃｏｎｖｅｘｉｔｙ ａｎｄ ｌｏｗｅｒ ｓｏｉｌ ｎｕｔｒｉｅｎｔ ｃｏｎｔｅｎｔ), ｔｈｅ ｔｒａｉｔｓ ｗｅｒｅ ｖａｒｉｏｕｓ (ｆｕｎｃｔｉｏｎａｌ ｄｉｖｅｒｇｅｎｃｅ ｉｎｃｒｅａｓｅｄ) ａｎｄ ｕｓｅ ｆａｓｔ ｇｒｏｗｉｎｇ ｓｔｒａｔｅｇｙ (ｈｉｇｈ ＳＬＡ, ｌｏｗ ＬＤＭＣ), ｓｉｎｃｅ ｃｏｍｐｅｔｉｔｉｖｅ ｉｎｔｅｒａｃｔｉｏｎｓ ｍｉｇｈｔ ｐｌａｙ ａ ｋｅｙ ｒｏｌｅ. Ｔｈｅ ｆｕｎｃｔｉｏｎａｌ ｄｉｖｅｒｇｅｎｃｅ ｏｆ ｌｅａｆ ａｒｅａ ａｎｄ ｌｅａｆ ｎｉｔｒｏｇｅｎ ｃｏｎｔｅｎｔｓ ｉｎｃｒｅａｓｅｄ ｉｎ ｂｅｔｔｅｒ ｅｎｖｉｒｏｎｍｅｎｔａｌ ｃｏｎｄｉｔｉｏｎｓ (ｈｉｇｈ ｒｅｌａｔｉｖｅ ｅｌｅｖａｔｉｏｎ, ｈｉｇｈ ｃｏｎｖｅｘｉｔｙ ａｎｄ ｈｉｇｈｅｒ ｓｏｉｌ ｎｕｔｒｉｅｎｔ ｃｏｎｔｅｎｔ), ａｎｄ ｔｈｅｓｅ ｔｗｏ ｔｒａｉｔｓ (ｌｅａｆ ａｒｅａ ａｎｄ ｌｅａｆ ｎｉｔｒｏｇｅｎ ｃｏｎｔｅｎｔ) ｗｅｒｅ ｏｐｐｏｓｉｔｅ ｔｏ ｔｈｅ ｏｔｈｅｒｓ (ｓｐｅｃｆｉｃ ｌｅａｆ ａｒｅａ, ｌｅａｆ ｄｒｙ ｍａｔｔｅｒ ｃｏｎｔｅｎｔ, ｌｅａｆ ｌｅｎｇｔｈ ｔｏ ｌｅａｆ ｗｉｄｔｈ ｒａｔｉｏ, ｌｅａｆ ｃａｒｂｏｎ ａｎｄ ｐｈｏｓｐｈｏｒｕｓ ｃｏｎｔｅｎｔ). Ｔｈｅｓｅ ｒｅｓｕｌｔｓ ｉｎｄｉｃａｔｅｄ ｔｈａｔ ｄｉｆｆｅｒｅｎｔ ｎｉｃｈｅ ａｘｅｓ (ｅｎｖｉｒｏｎｍｅｎｔｓ) ｈａｄ ｄｉｆｆｅｒｅｎｔ ｉｍｐｏｒｔａｎｃｅｓ ｉｎ ｔｈｅ ｃｈａｎｇｅｓ ｉｎ ｆｕｎｃｔｉｏｎａｌ ｔｒａｉｔｓ ｄｉｓｐｅｒｓｉｏｎ, ａｎｄ ｉｌｌｕｓｔｒａｔｅｄ ｔｈａｔ ｗｅ ｃｏｕｌｄ ｕｓｅ ｐｌａｎｔｓ ｄｉｖｅｒｓｅ ｓｔｒａｔｅｇｉｅｓ ｔｏ ａｄａｐｔ ｔｏ ｈｅｔｅｒｏｇｅｎｅｏｕｓ ｅｎｖｉｒｏｎｍｅｎｔｓ ｉｎ ｌｏｃａｌ ｓｃａｌｅ. [ABSTRACT FROM AUTHOR]