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- Let us dive into the first function optimization. 让我们开始优化第一个函数。
- The function optimization and knapsack problem show the effectiveness of PEA. 函数优化和背包问题实验验证了PEA的有效性。
- Abstract: A novel and fast evolutionary algorithm (NFEA) for function optimization problems is proposed. 摘要: 提出一种新的求解函数优化的快速演化算法；
- This paper presents a genetic algorithm based on sorting in accordance with multimodal function optimization. 本文针对多峰函数优化问题,提出一种基于排序的遗传算法。
- For multimode function optimization, a quantum SPSO (Q-SPSO) is provided to deal with multiple local optima. 实验分析了采样周期对算法优化行为的影响。
- The simulation result of complicated function optimization shows that this improved crossover operation is much more effective than the standard crossover operation. 对复杂函数优化的仿真计算结果表明，同标准交叉操作比较，改进的交叉操作更加有效。
- We divided this article into three parts to investigate: simplifying rules, fuzzy weighted average (FWA) and fuzzy function optimization. 本文主要分成三个部份进行探讨，分别为简化规则、模糊加权平均与模糊函数最佳化。
- Based on the analysis of immune theory and Hopfield neural network(HNN),a new algorithm for multimodal function optimization was proposed. 实验表明,该算法是一种有效的求解多峰函数优化问题的方法,与免疫算法相比,搜索效率和精度都较高。
- An improved simplex method(ISM)based on Nelder and Mead s simplex method(N-M SM) is presented for unconstrained function optimization. 针对无约束函数最优化问题,提出了一种能有效加快收敛速度的改进单纯形算法。
- The adoption of niche concept improves the ability of PSO algorithm in solving multimodel function optimization problems. 小生境技术的引入,提高了微粒群算法处理多峰函数优化问题的能力。
- A new algorithm for multimodal function optimization was presented by introducing a cluster mechanism in the clonal selection process. 通过在克隆选择过程中引入抗体聚类机制，提出了一种用于复杂多模函数优化的新算法。
- The simulation experiment shows that the MFPSO algorithm possesses clear mechanism and simple operation.The MFPSO algorithm is successful in multimodal function optimization. 仿真实验表明该算法概念清楚，计算简单，具有很好的局部寻优特性，可应用求解于多峰寻优问题。
- To solve function optimization problem,pheromone update strategy is derived based on ant colony algorithm by inducing binary coding of genetic algorithm. 为了求解一般的函数优化,在标准蚁群算法的基础上,引入了遗传算法的编码方式,对蚁群算法的信息素更新进行改进。
- This paper proposes a new self-adaptive Multi-Parent Crossover evolutionary algorithm based on Gaussian and Cauchy mutation for solving constrained function optimization problems. 摘要 提出一种基于高斯柯西变异算子的多父体杂交自适应演化算法，并用于求解约束函数优化问题。
- Where there is persistent hyperglycaemia, leucocytes do not function optimally, further aggravating the risk of systemic sepsis. 如果存在持续的高血糖，白细胞的正常功能将受到影响，可加重全身性败血症的风险。
- Bethke A D.Genetic algorithm as function optimizers No.8106101[D].University of Michigan,1980. 本算法统计的是1000或500次计算后每代平均最佳适应值的收敛代数.
- The function optimization and 0-k knapsack problem experiments show that PEA has apparent superior in application area, searching capability and computation time compared with QEA and canonical genetic algorithm (CGA). 函数优化和0-k背包问题实验表明,与量子进化算法和传统遗传算法相比,概率进化算法在适用范围、搜索能力和收敛速度上有明显的优势。
- Legendre polynomial as base model of shape defect pattern is used to transfer pattern recognition process into a function optimization problem.And,pattern recognition optimization resu... 以勒让德正交多项式作为板形缺陷的基模式,将板形信号模式识别过程转化为函数的优化问题,有效地提高了算法的寻优效果,改进了板形信号模式识别的速度和精度。
- With the restriction of water demand and supply, the objective function optimal value was calculated by sequential quadratic programming. 以需水量和可供水量为约束条件，采用序列二次规划法求解函数最优值。
