The thinking of evolutionary robotics mainly comes from evolutionary computation.
进化机器人的思想主要来源于进化计算。
Particle swarm optimization algorithm is a new and efficient evolutionary computation method.
粒子群优化算法是一种新型、高效的进化计算方法。
An algorithm based on the immune evolutionary computation (IEC) is proposed to evaluate sphericity error.
提出一种新颖的免疫进化计算方法（IEC）用于球度误差评定。
Then evolutionary computation (EC) is introduced mainly on its inspiration, virtues and implementation issues.
简要介绍了进化计算的思想、优点 ；
Evolvable hardware is a novel research field that involves evolutionary computation and reconfigurable hardware.
硬件进化是基于进化计算和可重构硬件的新兴研究领域。
In the recent decade, an algorithm named Evolutionary Computation has become mature and been applied to many areas.
近十几年来，一类称之为演化计算的算法已日渐趋于成熟，并在许多领域之中得以应用。
GA is one of the most widely evolutionary computation methods in scheduling optimization has irreplaceable advantages.
遗传算法作为应用最广泛的进化计算方法之一，在调度的优化研究方面具有不可替代的优势。
Particle Swarm optimization (PSO) is an evolutionary computation technique and an optimization tool based on iteration.
粒子群优化算法(PSO)是一种进化计算技术，是一种基于迭代的优化工具。
Network encoding is the key of application evolutionary computation to the optimization of multi-stage logistic network.
运用演化计算求解多阶段物流网络优化问题的关键是其编码问题。
Particle swarm optimizer (PSO) is a new evolutionary computation method, which has been successfully applied to many fields.
微粒群算法是一种新型的进化计算方法，已在许多领域得到了广泛的应用。
Particle swarm optimization (PSO) is a new stochastic optimization technique originating from artificial life and evolutionary computation.
粒子群优化(PSO)算法是一类新兴的随机优化技术，其思想来源于人工生命和演化计算理论。
Evolutionary computation is an effective method to solve optimization, search and learning problems, inspired by genetics and nature evolution.
进化计算是基于遗传学和自然演化思想的一个解决优化、搜索和学习问题的有效方法。
Design and implementation of artificial neural networks based on evolutionary computation can lead to significantly better network performance.
基于进化算法可有效解决神经网络设计和实现中存在的一些问题，使网络具有更优的性能。
Evolutionary computation has found vast application to many science fields, of which evolutionary non-linear parameter evaluation is one direction.
演化计算在不同的科学领域得到了广泛的应用，其中演化非线性参数估计是演化计算的应用方向之一。
Artificial Immunology is a novel intelligent computing research field and research hotspot after artificial neural network and evolutionary computation.
人工免疫学是继神经网络、进化计算之后新的智能计算研究领域和研究热点。
Based on the analysis of multi-modal function optimization using evolutionary computation, a new multiple routes planner for unmanned air vehicles is proposed.
在分析多峰值函数优化问题的基础上，提出了一种基于进化计算的飞行器多航迹规划方法。
While one outstanding character of evolutionary computation is global search, it can converge to a globally optimal solution or at least a sub optimal solution.
由于进化计算一个最重要的特点便是全局搜索，这样可得全局最优解或次优解。
By introducing multi-agent technique into the domain of interactive evolutionary computation, a new interactive multi-agent evolutionary algorithm (IMAGA) was developed.
将多智能体技术应用于交互式进化计算领域，提出一种新的交互式多智能体进化算法。
The research task belongs to the popular cross areas, which are the evolutionary computation and networking. This work is of importance for the next network development.
课题属新兴交叉研究领域，是进化计算和信息网络领域的热点，对下一代网络有重要意义。
This article discusses the structures and basic process of evolutionary computation and evolution strategies, and compares the two with the strength and weakness of each.
本文介绍了演化策略和遗传算法两种演化计算的形式结构和基本过程，并比较了它们的差异以及各自的优缺点。
Estimation of Distribution algorithms (EDAs) are new evolutionary algorithms based on probabilistic model and have become a new focus in the field of evolutionary computation.
分布估计算法由于其较强的理论基础已成为进化计算研究的新热点。
Since 1994, the international evolutionary computation conference of IEEE has established the "GP" topic, which is to research GP algorithm, theory, and data structure and so on.
自1994年以来，IEEE进化计算国际会议就设置了“GP”的专题，对GP的算法、理论、数据结构等方面进行研究。
Indeed, the names of major subfields of computer science-such as artificial neural networks, genetic algorithms, and evolutionary computation-attest to the influence of biological analogies.
说实话，在计算机科学的一些主要分支学科的命名上就可以看出生物学的影子，譬如人工神经网络，遗传算法和进化计算法等等。
An evolutionary computation method is utilized to design a hierarchical and off-line path planner for multiple Unmanned Aerial Vehicles (UAV) coordinated navigation in known static environments.
提出了一种在已知静态环境下利用进化计算实现多无人飞行器的分层离线协同航迹规划方法。
A simple and easy operation method of coding and decoding was designed first. Then job-shop scheduling could be solved by conducting convergence and dissimilation of Mind Evolutionary Computation.
首先设计了简单、易操作的编码和解码方法，然后应用思维进化计算的趋同和异化操作求解该问题。
A simple and easy operation method of coding and decoding was designed first. Then job-shop scheduling could be solved by conducting convergence and dissimilation of Mind Evolutionary Computation.
首先设计了简单、易操作的编码和解码方法，然后应用思维进化计算的趋同和异化操作求解该问题。
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