...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied mathematics and computation >Promotion of cooperation based on swarm intelligence in spatial public goods games
【24h】

Promotion of cooperation based on swarm intelligence in spatial public goods games

机译：促进基于空间公共产品游戏中群体智能的合作

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, we introduce the swarm intelligence methods into the evolutionary dynamics, and have studied the impact of swarm intelligent algorithm on the evolution of cooperation among selfish individuals in the continuous version of spatial public goods games (PGG). We update an individual's strategy according to the memory which records the most successful individual strategy in the past (referred to as its personal best strategy) as well as the knowledge of the best current strategy found by its nearest neighbors (referred to as the neighborhood best strategy). Through extensive simulations, we find that the introduction of swarm intelligence into PGG can promote cooperation strongly. Other pertinent quantities such as the time evolution of cooperator density, the spatial distribution of strategies and the updated velocities are also investigated. (C) 2017 Elsevier Inc. All rights reserved.
机译：在本文中，我们将群体智能方法介绍进入进化动态，并研究了群体智能算法对空间公共产品持续版（PGG）的自私人合作演变的影响。 我们根据记忆更新个人的策略，记录过去（称为其个人最佳策略）以及其最近邻居（最佳邻居）发现的最佳当前策略的知识 战略）。 通过广泛的模拟，我们发现将群体智能引入PGG可以强烈促进合作。 还研究了其他相关的数量，例如合作师密度的时间演变，策略的空间分布和更新的速度。 （c）2017年Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号