Recent Advances in Evolutionary Computation

• 作 者: Xin Yao Yong Xu
• 机 构: Nature Inspired Computation and Applications Laboratory,The Centre of Excellence for Research in Com
• 出 处: 计算机科学技术学报（英文版）
• 发表日期: 2004年期
• 关键词: evolutionary computation neural network ensemble prisoner's dilemma real-wo
• 基金项目: 国家自然科学基金;the Advantage West Midlands, UK

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.