An improved particle swarm optimization algorithm embedded with greedy search for solution of unit commitment.
求解机组组合问题的嵌入贪婪搜索机制的改进粒子群优化算法。
Particle Swarm Optimization (PSO) algorithm has existed premature convergence for multimodal search problems.
粒子群优化(PSO)算法对于多峰搜索问题一直存在早熟收敛问题。
In this paper, we study a new kind of evolutionary algorithm for global optimization over continuous Spaces, a revision of Differential evolution based on piecewise two-dimensional search.
本文研究了一种求解连续变量空间全局优化的进化算法，基于分片二维搜索的修正微分进化算法。
They are a kind of stochastic search iterative algorithm and no demand of optimization object.
它们均是一种随机搜索的迭代算法，对优化对象的性态无要求。
The standard particle swarm optimization algorithm as a random global search algorithm, because of its rapid propagation in populations, easily into the local optimal solution.
标准的粒子群优化算法作为一种随机全局搜索算法，因其在种群中传播速度过快，易陷入局部最优解。
This paper proposes a direct search algorithm for global optimization and multi-peak searching of functions with boundary constraints.
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 new linear search algorithm combined with the reverse optimization scheme.
本文提出一种结合了反向优化策略的线性搜索算法。
A new random optimization algorithm based on population search is proposed.
提出了一种新的基于群体搜索的随机优化算法。
On Optimal Solution of HuaRong Road, such as search strategy, data structures, algorithm optimization, programming are discussed. , then we analyze the results of program.
本文讨论了有关华容道问题最优解的搜索策略、数据结构、算法优化及程序设计，并对程序运行结果作了分析。
Beam search is a heuristic search algorithm that is an optimization of best-first search that reduces its memory requirement.
定向搜索是一种启发式搜索算法，它是对减少内存需求的最佳优先搜索的优化算法。
This algorithm can improve optimal search efficiency and has broad use for treating all sorts of problems of complicated nonlinear optimization.
实例表明该优化算法能够提高搜索效率，在解决各种复杂的非线性优化问题方面具有广阔的前景。
This algorithm can solve the problem of low precision and divergence of basic particle swarm optimization algorithm, so it has higher efficiency of search.
该算法能克服基本微粒群优化算法精度较低，易发散的缺点，有较高的搜索效率。
Finally, zero order variable-fidelity aerodynamic optimization management framework and search algorithm were demonstrated on an airfoil optimization of UAV with a flying wing.
最后，设计了零阶变可信度气动特性优化管理结构与搜索算法，对某飞翼型无人机的翼型进行了气动优化。
In order to improve the search efficiency, this paper presents an optimization solution based on heuristic search algorithm and applies it in the original system successfully.
针对该问题，提出基于启发式搜索算法的查询优化方案并成功应用于原有的查询系统。
Particle Swarm Optimization as a Swarm Intelligence algorithm, has strong global search capability, can be used for training neural network to overcome the defect of BP algorithm.
然而在粒子群优化算法中，早熟现象时有发生，从而制约了算法的性能。
We propose a two layers neighborhood search algorithm to avoid the separation between agent choices and road optimization.
为了避免将代理商选择和线路优化作为两个互相分离的子问题来处理，提出了求解它的两层邻域搜索算法。
A novel alternate routing algorithm is proposed on the basis of balanced load of links and tabu-search and the optimization of solution search and the link load variance and congestion realized.
文章基于负载均衡和禁忌搜索提出一种新的备用路由算法，实现了优化解搜索及对链路负载方差和拥塞的优化。
As an intelligent search and optimization method, Evolutionary Algorithm (EA) has a good future with a very variety of applications.
进化算法作为一种模拟生物优胜劣汰过程的智能搜索和优化算法有着非常广泛的应用前景。
As the particle swarm optimization algorithm for the parameter search space is not harsh conditions, so in many practical problems in engineering optimization has been applied successfully.
由于粒子群优化算法对于参数搜索空间没有苛刻的条件，故在许多工程优化的实际问题中得到了成功的应用。
Both line search and trust region algorithm are well-accepted methods in the optimization to assure global convergence.
线性搜索方法和信赖域方法是保证最优化问题的整体收敛性的两种基本策略。
Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.
通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。
Chaos optimization algorithm is a global search method of selecting SVMs parameters, simulations show that the proposed method is an effective approach for parameter selection.
混沌优化算法是一种全局搜索方法，将混沌优化算法应用于支持向量机参数选取问题中，仿真表明该方法的有效性。
Chaos optimization algorithm is a global search method of selecting SVMs parameters, simulations show that the proposed method is an effective approach for parameter selection.
混沌优化算法是一种全局搜索方法，将混沌优化算法应用于支持向量机参数选取问题中，仿真表明该方法的有效性。
应用推荐