evolutionary algorithms发音

意思翻译

进化算法（preferencesetting的复数）

相似词语短语

algorithms───n.[计][数]算法；算法式（algorithm的复数）

evolutionary───adj.进化的；发展的；渐进的

evolutionary biology───[医]进化生物学；[生物]进化生物学

algorithms visualized───算法可视化

algorithms vazirani───vazard算法

evolutionary perspective───进化观点

sorting algorithms───排序算法

algorithms definition───算法定义

evolutionary process───演化过程，进化过程；进化过程，演化过程

双语使用场景

idea of evolutionary algorithms is not new.───进化式运算法则”并不是新的构想。

Genetic algorithms are a particular class of evolutionary algorithms.───遗传算法是一类特殊的进化算法。

The computational time complexity is an important topic in the theory of evolutionary algorithms.───计算时间复杂性是演化理论中的一个重大课题。

ChatterBot - The aim of this project is to create a program which learns to use different languages by using evolutionary algorithms.───ChatterBot这个项目的目的是创建一个通过使用进化算法来学习使用不同语言的程序。

Genetic algorithm and ant colony algorithm are two evolutionary algorithms for complicated problems in combinatorial optimization.───大量实验结果表明，这两种算法在解决许多组合优化问题时都能表现出较好的求解能力。

Evolutionary Algorithms are adaptive algorithms about mocking evolutionary processes of life-form.───演化算法是一种模拟生物进化过程的自适应算法。

Soft computing includes Artifical Neural Networks, Fuzzy Logic, Evolutionary Algorithms, Rough Set (RS) Theory, etc.───软计算工具主要包括人工神经网络、模糊集理论、进化算法和粗糙集理论等。

In recent decades, multi-objective evolutionary algorithms became hot spots and achieved many good results in multi-objective area.───最近几十年，演化算法成为多目标领域的研究热点，并取得许多可喜的成绩。

This paper studies evolutionary algorithms for single objective and multi-objective optimization.───本文对带约束的单目标、多目标进化算法进行了研究。

英语使用场景

Adhibit efficiency function, The genetic annealing evolutionary algorithms are applied to realize the optimization of scheduling decisions.

Soft computing includes Artificial Neural Network, Fuzzy Logic, Evolutionary Algorithms, Rough Set ( RS ) Theory, etc.

The problem for time complexity of evolutionary algorithms ( EAs ) is rarely solved well before.

It proposed a unified fundamental structure of evolutionary algorithms and basic models.

The drawbacks of simulated evolutionary algorithms are that the global optimality can not be always guaranteed because of randomicity and premature con vergence.

Without requiring the differentiability of the functions and with implicit parallelism, evolutionary algorithms are often used to solve some difficult problems which the classical algorithms can't.

A general approach based on evolutionary algorithms to inverse parameter identification problems of PDEs is introduced.