Considering the peaceful international communication, the studies of "evolutionary learning", "communication and human behavior", "intercultural conflict", are good sources of inspiration.
在国际和平交往问题上，学习进化理论、信息交流理论和文化冲突理论能给予我们许多启示。
Without the destruction of single neurons based on input weights, adopt data pretreatment methods to reduce the number of input layers, so as to improve the ability of evolutionary learning.
在不破坏单个神经元的输入权值的基础上，采用数据预处理的方法来减少输入层的个数，从而提高进化学习的能力。
The advantages of cooperation and social learning then propelled the incipient human groups along a different evolutionary path.
合作和社会性学习的优势推动了早期的人类部落走向了另外一条进化的道路。
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。
PBIL algorithm is a probability learning based evolutionary algorithm.
PBIL算法是一种基于概率分析的进化算法。
The learning of English is to learn a skill and it is a long, evolutionary and accumulative process.
学习英语是学习一种技能。 学习英语是一个长期的、渐进的、积累的过程。
Obstacle avoidance, target approach and their combination behavior learning of evolutionary robot are realized by the use of artificial neural network in this paper.
为了克服传统机器人设计方法存在的局限性 ，提高机器人的自适应能力 ，采用神经网络方法实现了进化机器人避碰、趋近及其组合行为学习 。
This paper proposes an automatic negotiation algorithm based on co-evolutionary algorithm, and simulates the strategy learning mechanism in the finite horizon alternating offer negotiation protocol.
提出了基于协同进化遗传算法的自动谈判算法，模拟了有限期轮流出价谈判协议中的策略学习机制。
The algorithm is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multimode optimization.
这种革新算法能关于机器学习解复杂问题，实例结果表明，克隆选择算法对多峰值寻优问题有优良能力。
Ethologists study the evolutionary basis and development of animals' innate behaviors, like a spider knowing how to make a web without learning from a parent.
动物行为学家对动物净化的基础以及天生的能力进行研究，例如蜘蛛不需要向父母学习就懂得如何织网。
Zuckerberg's learning curve has been evolutionary: moving from sea creatures to land animals.
扎克伯格的学习曲线是循序渐进型的：先是海产品，再到陆生动物。
And through compare with non-Evolutionary Map building method, the Evolutionary Reinforcement learning algorithm can increase search map efficiency and expedite convergence speed of global map.
通过与非进化模式下的多机器人地图构建方法的比较，该算法可以提高地图搜索的效率，加快全局地图的收敛。
Due to its intrinsic parallelism, self-organizing, adaptation and self-learning intelligent properties, evolutionary computation has large potential to solve multiple objectives optimal solutions.
它的潜在并行性及自组织、自适应、自学习的智能特性对于求解多目标优化问题具有巨大的潜力。
Due to its intrinsic parallelism, self-organizing, adaptation and self-learning intelligent properties, evolutionary computation has large potential to solve multiple objectives optimal solutions.
它的潜在并行性及自组织、自适应、自学习的智能特性对于求解多目标优化问题具有巨大的潜力。
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