local optima 中文意思是什麼
local optima
解釋
局部選優-
Taking the real - time recognition request into consideration, a bi - layer ahmm model ( bl - ahmm ) is introduced. bl - ahmm can reduce the recognition space by pre - categorization, which improves the speed and accuracy of recognition. like the other grads descend algorithms, the problem of local optima is also existed in the training of hmm
為了進一步提高識別速度，滿足聯機識別中實時性的要求，本文在ahmm的基礎上同時提出了一種雙層自適應識別模型（ bl - ahmm ） ，通過預分類來減小識別空間，提高了系統識別速度並同時提高了識別率。 -
The algorithms is carried into training connection weights of nn and simulation experiments show the arithmetic can escape local optima and improve learning speed of nn to some extent
將其用於調整神經網路的連接權值，實驗證明該方法可克服神經網路訓練的局部最優解問題，並在一定程度上提高神經網路的學習速度。 -
Secondly, by making use of the characteristics of ergodicity and randomness of chaotic variables, the local search is performed by chaotic search in the neighborhoods of high affinity antibodies, and the chaotic search is carried out in the whole solution space to avoid sticking at local optima
然後，利用混沌變量的遍歷性和隨機性特點，通過在高親和力抗體的鄰域內進行混沌搜索以實現局部尋優，通過在整個解空間內的混沌搜索來避免陷入局部最優解。 -
A high precision chaotic optimization strategy was applied to parameter identification of power system static load model and the deficiency of traditional methods were effectively overcome which are easily being trapped in local optima
將一種高精度的混沌優化策略用於電力系統靜態負荷模型參數辨識，克服了傳統的基於梯度尋優的辨識方法容易陷入局部最優點的不足。 -
Optimization of complex systems is often characterized by large scale, complex constraints, high nonlinearity and multiple local optima
優化技術是一門重要的科學分支，在許多工程領域得到推廣和應用。 -
Proofs were made that global optimum ( or global pareto optimum ) of the decomposed problem and the original mdo problem are equivalent, and the decomposed problem retains all local optima ( or local pareto optima ) of the original mdo problem. by solving the decomposed problem using coevolutionary algorithms, the revolutionary mdo algorithms were formed
證明了用這種分解方式分解后的問題與mdo原始問題的全局最優解（或全局pareto最優解）的等價性，以及這種分解方式保留了mdo原始問題的所有局部最優解（或局部pareto最優解） 。 -
In the design optimization of space equipment satellite systems, there are lots of discrete and integer design variables, the design space is nonconvex and even disjointed, and has multimodality. unfortunately, current mdo procedures or strategies have difficulty to deal with discrete or integer design variables, they are very sensitive to complex design space, have propensity to converge to local optima near the starting point, and can not handle multiple objectives effectively. to overcome these difficulties, this dissertation adopt the idea of coevolution to systematically develop new multidisciplinary design optimization methods based on decomposition and coordination
論文以航天裝備體系及其它復雜飛行器系統的多學科設計優化（ multidisciplinarydesignoptimization ，簡稱mdo ）為應用背景，針對航天裝備衛星系統設計中存在大量離散和整數設計變量、設計空間非凸和不連通、具有多個局部最優點等特點和現有mdo方法過程難以處理離散和整數變量、對復雜設計空間非常敏感、易於陷入局部最優、不能有效處理多目標等缺陷，採用協同進化的思想，系統地進行基於分解協調的mdo方法研究。 -
This paper also suggests an effective method of preventing premature of genetic algorithm is presented based on the analysis of causes of premature of genetic algorithms. some different local optima are found firstly and the best of these solutions is regarded as the last result. 0 - 1 integer linearity programming is an important integer programming model
另外ga在應用中還存在早熟收斂的問題，本文介紹了解決該問題的一種策略，對一個優化問題連續多次運行ga以求得多個不同的局部最優解，再從這多個局部最優解中挑選一個最優的作為演算法的最後結果，該方法可大大提高了ga求得真正全局最優解的可能性。
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