智能组卷是一个多约束目标的组合优化问题。
Automatic Test Paper is a combination of multi-objective constrained optimization problem.
配电网重构是一个多目标、 多约束、离散的非线性组合优化问题。
Distribution network reconfiguration is a multi - objective , multi - constraint, discrete nonlinear combinatory optimization problem.
求解带约束的多峰函数优化问题在科学研究和工程应用中具有重要的现实意义。
Solving multi -modal function optimization problems with constraints has an important practical meaning in scientific re-searches and engineering applications.
钢铁生产中热轧批量计划编制属于多约束情况下大规模组合优化问题。
The hot rolling lot planning in iron and steel enterprises is a large-scale combination optimization problem with many restrictions.
故用传统的数学优化算法，难以解决多目标、多约束问题。
So the traditional optimize algorithms is difficult to solve poly-goal, poly-restrain problems.
计算机网络优化是一个多约束条件的非线性0— 1问题。
Optimization of computer networks is a multi-restrain condition nonlinear 0-1 problem.
针对边界约束函数全局最优化和多峰寻优问题，提出一种直接搜索算法。
This paper proposes a direct search algorithm for global optimization and multi-peak searching of functions with boundary constraints.
对广泛应用于金融及经济等实际问题中的一类带有多乘积约束的线性规划问题提出一种全局优化算法。
In this paper a global optimization algorithm is proposed for some programming problem (p) with additional multiplicative constraints, which can be applied to finance and economics and so on.
计算表明，该方法避免了动态规划等算法处理多约束、大型优化问题的困难，同时提高了进化算法的精度。
The method solves the problems which caused by dynamic planning dealing with multiple constraints and large optimization problems, and improves the precision of evolution algorithm.
作为一类组合优化问题，多约束条件下的三维装载问题属于NP - Hard问题，其求解也是相当困难的。
As a combinatorial optimization problem, three dimension packing problem with multi-constraints is NP-HARD problem. It is very difficult to obtain an optimal solution.
基于多色集合理论，用数值围道矩阵描述了复杂PC B组装工艺流程中组装优化问题的设备资源约束和工艺约束，建立了PC B组装的优化约束模型。
Based on PS theory, numerical contour matrix was presented to describe the machine constraints and process constraints of job shop PCB assembly optimization problem and formulate the constraint model.
多约束条件下的三维装箱问题是一个复杂的组合优化问题，属于NP-HARD问题，其求解是很困难的。
Three dimension packing problem with multi constraints is a complicated combinatorial optimization, and is NP HARD problem. It is difficult to obtain on optimal solution.
配电网络规划是一个复杂的组合优化问题，其具有多约束、非线性和离散性的特点。
Distribution system planning is a complicated combinatorial optimization problem, which is characterized by multi-constrains, non-linearity and discreteness.
针对物流配送中的多车场车辆调度问题提出了两种多车场的智能处理方法，并且用禁忌算法优化了容量约束的多车场VSP问题。
This paper presents two kinds of intelligent methods for multi-depots vehicle scheduling problem(MDVSP), and uses Tabu Search algorithm(TS) to optimize MDVSP with weight limit.
从本质上讲，无功优化调度问题是具有大量的局部极小值的多约束全局优化问题，且含有大量的离散变量。
Essentially, optimal reactive power dispatch is the multi-restraint overall optimization problem with plentiful local minima and discrete variables.
提出具有模糊需求量和模糊能力约束以及资本水平约束的多品种类集约生产计划问题的模糊优化模型及模糊解方法。
This paper focuses on a fuzzy approach in modeling and optimization for aggregate production planning problems with multiproduct under fuzzy requirements and fuzzy capacities environment.
现场集装箱装载问题多为多目标、多约束优化的复杂问题。
The container loading problem occurring in on the spot freight production is often with several constraints and objectives, I.
提出了一种求解线性规划问题的新方法：利用K—T条件及KS函数的凝聚特性，将多约束线性规划问题凝聚为单约束优化问题进行求解。
Using K-T condition and the aggregation properties of KS function, a multi-constraints linear programming problem is become a single constraint linear programming problem.
基于模糊集理论与容差法思想 ，研究了具有模糊客户需求与多工艺约束的批量生产计划问题 ，采用遗传算法寻找优化的计划方案 。
The lot sizing problem with fuzzy customer demands and multi technological constraints was studied by taking advantage of the fuzzy set theory and the idea of tolerance.
组卷问题是一个多约束多目标组合优化问题。
The test paper generation is a constrained multi-object optimization problem.
为了解决起重机箱形主梁优化设计中的多变量、多约束问题，提出了一种新的基于混沌序列的粒子群优化算法。
To solve the problems of the multi-variables and multi-constraints in crane main girder optimization design, the paper proposes a new particle swarm optimization algorithm based on chaos series.
车身轻量化设计是多参数、多约束的复杂系统优化问题，首先需要满足耐撞安全性。
Autobody lightweight design is an optimization procedure with multiple parameters and constraints which should firstly satisfy crashworthiness performance.
车身轻量化设计是多参数、多约束的复杂系统优化问题，首先需要满足耐撞安全性。
Autobody lightweight design is an optimization procedure with multiple parameters and constraints which should firstly satisfy crashworthiness performance.
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