Book Review: Evolutionary Game Theory

Autonomous Agents and Multi-Agent Systems -     

程序智能合成技术研究进展

近年来,随着信息技术快速发展,软件重要性与日俱增,极大地推动了国民经济的发展.然而,由于软件业务形态越来越复杂和需求变化越来越快,软件的开发和维护成本急剧增加,迫切需要探索新的软件开发模式和技术.目前,各行业在软件活动中积累了规模巨大的软件代码和数据,这些软件资产为软件智能化开发建立了数据基础.与此同时,深度学习等人工...     

Evolutionary Scheduling: A Review

Early and seminal work which applied evolutionary computing methods to scheduling problems from 1985 onwards laid a strong and exciting foundation for the work which has been reported over the past decade or so. A survey of the current state-of-the-art was produced in 1999 for the European Network of Excellence on Evolutionary Computing EVONET—this paper provides a more up-to-date overview of the area, reporting on current trends, achievements, and suggesting the way forward.     

Recent Advances in Evolutionary Computation

Evolutionary computation has experienced a tremendous growth in the last decade in both theoretical analyses and industrial applications. Its scope has evolved beyond its original meaning of ＂biological evolution＂ toward a wide variety of nature inspired computational algorithms and techniques, including evolutionary, neural, ecological, social and economical computation, etc, in a unified framework. Many research topics in evolutionary computation nowadays are not necessarily ＂evolutionary＂. This paper provides an overview of some recent advances in evolutionary computation that have been made in CERCIA at the University of Birmingham, UK. It covers a wide range of topics in optimization, learning and design using evolutionary approaches and techniques, and theoretical results in the computational time complexity of evolutionary algorithms. Some issues related to future development of evolutionary computation are also discussed.     

智能网站Agents的研究

研究智能网站Agents的学习行为 ,提出Agents学习用户获取信息的算法和过程 ,掌握该用户的信息获取倾向 ,建立相应的用户兴趣知识库 ,根据知识库有选择地向用户推荐信息 ,从而实现信息发布和获取的最优化运作