The common methods include exhaustive method , member - limited method and so on . but the efficiency of these methods is very low ; even these methods cannot find feasible solution in some cases 常用的搜索策略有：穷举法、成员数目受限算法等等，但是这些算法都存在效率低下的缺点，在某种情况下甚至找不到可行解。
We use genetic algorithm ( ga ) to realize agents " coalition formation . ga can reduce the cost of searching the optimal solution or quasi - optimal solution , and enhance the efficiency of the whole system 本文使用遗传算法来实现机器人联盟形成,遗传算法能够减少寻找最优解或可行解的开销，从而提高整个系统的效率。
This algorithm uses the quotient as the fitness of each individual and employs pseudo - relaxation method to adjust individual solution when it does not satisfy constraining condition any more after genetic operation 这种方法应用遗传算法和准松弛方法来得到bam的可行解，以mav和连接权方差之商为个体适应度函数，并应用准松弛方法来调整不满足约束条件的个体。
Moreover , the corresponding online optimization problem is converted to the generalized eigenvalue problem in terms of lmis . and the robust feasibility and robust stability are converted to the feasibility of a set of lmis ; 2 同时，在线优化问题被转化为基于线性矩阵不等式的广义特征值问题，而其鲁棒可行性问题及鲁棒稳定性问题则被转化为线性矩阵不等式之可行解的存在性问题； 2
This paper presents a simple approach to working out the basic feasible solution directly in linear programming , which avoids introducing artificial variables , decreases memory , and generally gets a better basic feasible solution at a quicker speed 摘要本文给出直接求线性规划问题基可行解的一种简易方法，该方法既避免了引入人工变量，减少存储，一般又能较快地得到一个较好的基可行解。
Evaluation method is also discussed in order to select the optimal one from the possible solutions . the factors of evaluation involved in the sewing machine industry are discussed . and the fuzzy synthetical decision method is adopted in the paper 此外，对方案设计获得的诸多可行解优选问题，还运用模糊综合评价方法进行了简单评价，明确了针对轻工业服装机械行业所必须考虑的评价因素。
The complementary linearization idea is then employed to convert the controller design into a nonlinear programming problem with linear matrix inequality constraints , and a construction of the desired controllers is also provided in terms of feasible solutions to the lmis 采用锥补线性化思想将控制器的设计转化为一个受线性矩阵不等式( lmi )约束的非线性规划问题，并利用该线性矩阵不等式的可行解给出了输出反馈控制器的构造方法。
In these methods , relativity degree solution is the method in which an ideal solution is established , the relativity degrees of evaluated solutions and the ideal solution are compared and orders are marshaled at last . affiliation degree solution is the solution in which ideal solution and ill - ideal solution are established , affiliate degrees between evaluated solutions and ideal solution are resolved by establishing a goal function and then orders of all solutions are marshaled according to measurements of affiliation degrees . gross profit solution is the solution in which both ideal solution and ill - ideal solution are considered , the differences between evaluated solutions and them a re measured according to n - dimension euclidean distance , and then gross profits are calculated 其中关联度法是首先确立一个理想方案，然后比较待评估方案与理想方案的关联度，最后根据其大小对各待评估方案进行排序；优属度法是首先确立理想方案和负理想方案，然后把各待评方案与理想方案和负理想方案的优属度为权建立一个目标函数，进而求出各待评方案与理想方案的优属度，最后根据优属度的大小对各方案进行排序；总效用法的思想是同武汉理工大学硕士学位论文时考虑理想解与负理想解二者作为参照基准，并采用n维欧几里德距离来度量任意可行解(被评估方案)与理想方案及负理想方案之间的差异，然后指导两个差异结合在一起计算被评估方案的总效用，评估的原则是总效用越大越好;嫡本是物理学中的概念，在信息理论中被借用来作为度量权重的一种方法，但也可用来评估各方案的优劣，其评估原则是嫡值越大越好。
The search space is divided into many small areas , and each area is given a certain pheromone value . according to the state transition rules , the artificial ants move to the next solution which is generated randomly or calculated by particle swarm optimization . local search strategy is also added into psaco so that the search speed and precision is enhanced 该算法首先将连续对象定义域平均分成许多边缘相互重叠的小区域,区域的稠密程度决定了算法解的精度,每个区域赋予一定的信息素值;蚂蚁根据状态转移规则在随机生成的可行解与利用微粒群算法得出的可行解之间选择下一步要去的位置;引入局部寻优策略,加强近似最优解邻域内的局部搜索,提高搜索速度和精度。
As a result , the concept of state space for conceptual design of mechanical system is presented , which is new to the literature , based on the set of all state vectors . meanwhile , the properties of state vectors , which are vectors addition , constant multiplying , reversible driving , zero vectors , are discussed in state space . secondly , the dual - vector is introduced to descript the essential relation among the input and output characteristic vectors as well as sms 按照状态空间中对偶特征矢量的运算规则，在已知系统的输入输出特征矢量的情况下，通过数学推导求解，将形成的系统状态变换矩阵分解为多个状态变换矩阵的乘积，再通过各状态变换矩阵到数据库中寻找相应的基本变换单元集合，然后进行按序组合，进而从理论上获得相应的方案设计可行解。
