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mixed global optimization
相关语句
  混合全局优化
     A mixed global optimization algorithm (MGOA) for packing problems
     面向布局问题求解的混合全局优化算法研究
短句来源
     This paper, combining a heuristic random searching strategy with local optimal algorithm, proposes and develops a composite algorithm named Mixed Global Optimization Algorithm (MGOA) to overcome the difficulties.
     本文将启发式随机搜索策略和局部优化算法相结合 ,构造了混合全局优化算法 (MGOA)来解决这一困难。
短句来源
  “mixed global optimization”译为未确定词的双语例句
     A Mixed Global Optimization Algorithm and Its Application in Packing
     一种混合全局寻优算法及其在布局中的应用
短句来源
     This paper proposes combining a heuristic random searching strategy with a local optimization algorithm, and names it Mixed Global Optimization Algorithm (MGOA) to overcome the difficulties.
     文中将启发式随机搜索策略和局部优化算法相结合 ,构造混合全局寻优算法 .
短句来源
     With the engineering background of anti-seismic optimal design and the case where structural earthquake protection intensities are treated as discrete variables, a mixed global optimization method is put forward in this paper.
     在离散型决策变量、工程抗震优化设计背景下, 本文针对该系统结构分布特点, 提出全局优化计算的混合法。
短句来源
  相似匹配句对
     GLOBAL OPTIMIZATION OF INTEGER AND MIXED PROGRAMMING
     整规划和混合规划的总极值问题
短句来源
     Mixed Graph Based Global Wiring Refinement
     基于混合图的总体布线调整
短句来源
     Global optimization of mixed fixed-structure controllers
     固定结构混合H_2/H_∞控制器参数的全局优化
短句来源
     A Darwin & Boltzmann Mixed Strategy for Global Optimization
     全局最优化的Darwin & Boltzmann混合策略
短句来源
     Global Stability of Solutions for Mixed Bose-Einstein Condensates
     混合Bose-Einstein凝聚的解的整体稳定性
短句来源
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Packing problems are categorized as NP complete. Traditional optimization methods have difficulties to deal with such problems effectively. Recently, genetic algorithms (GA) and simulation annealing algorithms (SAA) were resorted to, but their efficiency to locate a precise result was not quite satisfactory. This paper proposes combining a heuristic random searching strategy with a local optimization algorithm, and names it Mixed Global Optimization Algorithm (MGOA) to overcome the difficulties....

Packing problems are categorized as NP complete. Traditional optimization methods have difficulties to deal with such problems effectively. Recently, genetic algorithms (GA) and simulation annealing algorithms (SAA) were resorted to, but their efficiency to locate a precise result was not quite satisfactory. This paper proposes combining a heuristic random searching strategy with a local optimization algorithm, and names it Mixed Global Optimization Algorithm (MGOA) to overcome the difficulties. Multi object optimization model is formulated on a simplified satellite cabin packing problem, and taking its known optimal solution as the criteria of evaluation, MGOA is superior to the Multiplier Algorithm and an Improved GA in term of solution quality and efficiency. Therefore, the proposed MGOA has shown some potential to deal with packing problems with good expectation.

布局问题是 NP完全问题 ,传统的优化算法很难求得全局最优解 ,遗传算法和模拟退火算法等的随机搜索算法的求解精度和效率不能令人满意 .文中将启发式随机搜索策略和局部优化算法相结合 ,构造混合全局寻优算法 .以旋转卫星舱布局问题的简化模型为背景 ,建立了多目标优化的数学模型 ,通过一已知最优解的布局算例与遗传算法和乘子法的计算结果比较 ,该算法求解的质量和效率更优 ,表明此算法在布局优化中具有应用潜力

Packing problems are categorized as NP-complete. The traditional optimization methods have difficulties in dealing with such problems effectively due to the nature of the ill-conditioned functions of the problems. Genetic Algorithms (GA) and Simulation Annealing Algorithms (SAA) have shown some promising for global optimization, but their efficiency to locate a precise result are not quite satisfied. This paper, combining a heuristic random searching strategy with local optimal algorithm, proposes...

Packing problems are categorized as NP-complete. The traditional optimization methods have difficulties in dealing with such problems effectively due to the nature of the ill-conditioned functions of the problems. Genetic Algorithms (GA) and Simulation Annealing Algorithms (SAA) have shown some promising for global optimization, but their efficiency to locate a precise result are not quite satisfied. This paper, combining a heuristic random searching strategy with local optimal algorithm, proposes and develops a composite algorithm named Mixed Global Optimization Algorithm (MGOA) to overcome the difficulties. By comparison with an original GA and SAA and a Complex Method on some testing functions, MGOA shows very good global results in terms of high precision and efficiency. A multi-object optimization model is formulated on simplified satellite cabin packing problem. By comparison on a case of such packing problem with known optimal solution, MGOA is superior to the Multiplier Algorithm and an Improved GA in term of solution quality and efficiency. Therefore, the proposed MGOA has shown some potential to deal with packing problems with good expectation.

布局问题属于 NP完全问题。由于布局函数的病态性状 ,传统的优化算法很难解决此问题。遗传算法、模拟退火算法等对全局优化展示了一定的前景 ,但是它们的求解精度和效率不能令人满意。本文将启发式随机搜索策略和局部优化算法相结合 ,构造了混合全局优化算法 (MGOA)来解决这一困难。通过典型测试函数与经典遗传算法 ,模拟退火算法 ,复合形法进行比较验算 ,表明该算法具有优良的求解质量和较好的求解效率 ;并以旋转卫星舱布局的简化模型为背景 ,建立多目标优化数学模型 ,通过一个已知最优解的布局算例与遗传算法和乘子法的计算结果比较 ,该算法求解的质量和效率更优。表明此算法在布局优化中具有应用潜力。

The multilevel hierarchical engineering system is defined as a multilevel branching structural series, which consists of the main structures in a large engineering project arranged with functionally logical relationships. With the engineering background of anti-seismic optimal design and the case where structural earthquake protection intensities are treated as discrete variables, a mixed global optimization method is put forward in this paper. The proposed method combines the coupling method with the...

The multilevel hierarchical engineering system is defined as a multilevel branching structural series, which consists of the main structures in a large engineering project arranged with functionally logical relationships. With the engineering background of anti-seismic optimal design and the case where structural earthquake protection intensities are treated as discrete variables, a mixed global optimization method is put forward in this paper. The proposed method combines the coupling method with the decoupling mrethod, considering the complex boundary conditions of systems and reducing the order of relevant optimized space, it is proved to be more appropriate for the optimization of multilevel hierarchical systems. An example is presented to demonstrate the efficiency and accuracy of the presented method in facilitating optimal decisions on the optimal earthquake protection criterion, construction cost, and allocation of total investment. The results are compared with those obtained by other methods.

多级递阶工程系统是由大型建筑工程项目的主要结构, 按照功能逻辑关系构成的多层次、树分支结构系列。在离散型决策变量、工程抗震优化设计背景下, 本文针对该系统结构分布特点, 提出全局优化计算的混合法。这一方法把耦合法与分解法的优点结合起来, 灵活地处理系统结构边界条件, 并使优化空间达到高度的降维, 对于大规模、分布复杂的多级递阶系统, 具有很高的优化计算效率。算例讨论了这一方法在决策大型建筑工程项目最优设防标准、最优造价和总投资最优分配方面的应用, 并同其它方法的结果作了比较。

 
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