In this paper, we present MLEANN (Meta-Learning Evolutionary Artificial Neural Network), an automatic computational framework for the adaptive optimization of artificial neural networks wherein the neural network architecture, activation function, connection weights; learning algorithm and its parameters are adapted according to the problem. We explored the performance of MLEANN and conventionally designed artificial neural networks for function approximation problems. To evaluate the comparative performance, we used three different well-known chaotic time series. We also present the state of the art popular neural network learning algorithms and some experimentation results related to convergence speed and generalization performance. We explored the performance of backpropagation algorithm; conjugate gradient algorithm, quasi-Newton algorithm and Levenberg-Marquardt algorithm for the three chaotic time series. Performances of the different learning algorithms were evaluated when the activation functions and architecture were changed. We further present the theoretical background, algorithm, design strategy and further demonstrate how effective and inevitable is the proposed MLEANN framework to design a neural network, which is smaller, faster and with a better generalization performance.
Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions
Beijing Institute of Computer Technology and Applications（北京计算机技术及应用研究所）；School of Cyberspace Science and Technology, Beijing Institute of Technology（北京理工大学网络空间安全学院）；School of Computer and Communication Engineering, University of Science and Technology Beijing（北京科技大学计算机与通信工程学院）；Beijing Engineering Research Center for Cyberspace Data Analysis and Applications（北京网络空间数据分析与应用工程技术研究中心）
Reactive, Proactive, and Inductive Agents: An evolutionary path for biological and artificial spiking networks
Sony Computer Science Laboratories, Inc.（索尼计算机科学研究所）；Earth-Life Science Institute, Tokyo Institute of Technology（东京工业大学地球生命研究所）；The University of Tokyo（东京大学）
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所）；School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络空间安全学院）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）
Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research
Aston University（阿斯顿大学）；University of Cambridge（剑桥大学）；Keele University（基尔大学）；University of Oxford（牛津大学）；Edinburgh Napier University（爱丁堡龙比亚大学）；Durham University（杜伦大学）；University of St Andrews（圣安德鲁斯大学）
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
University of Granada（格拉纳达大学）；TECNALIA（泰克纳利亚公司）；Basque Research Technology Alliance (BRTA)（巴斯克研究技术联盟（BRTA））；University of the Basque Country (UPV/EHU)（巴斯克大学（UPV/EHU））；Southern University of Science and Technology（南方科技大学）；University of Nottingham（诺丁汉大学）；Victoria University of Wellington（惠灵顿维多利亚大学）；University of Birmingham（伯明翰大学）；CERCIA
Forced Evolution in Silico by Artificial Transposons and their Genetic Operators: The John Muir Ant Problem
State University of New York at Stony Brook（纽约州立大学石溪分校）；The Sechenov Institute of Evolutionary Physiology and Biochemistry（谢切诺夫进化生理与生物化学研究所）；University of Granada（格拉纳达大学）
Identifying Quantum Structure in AI Language: Evidence for Evolutionary Convergence of Human and Artificial Cognition
Center Leo Apostel for Interdisciplinary Studies, Vrije Universiteit Brussel (VUB)（利奥·阿波斯泰尔跨学科研究中心，布鲁塞尔自由大学）；Department of Economics, University of Bergamo（博洛尼亚大学经济系）；Department of Humanities and Cultural Heritage (DIUM) and Centre CQSCS, University of Udine（乌迪内大学人文与文化遗产系及CQSCS中心）
Multiobjective Evolutionary Component Effect on Algorithm behavior
IRIT - CNRS UMR5505, University of Toulouse（图卢兹大学IRIT（法国国家科学研究中心UMR5505））；University of Brasilia（巴西利亚大学）；University of Stirling（斯特林大学）；University of Tsukuba（筑波大学）
Meta knowledge assisted Evolutionary Neural Architecture Search
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education（教育部智能感知与图像理解重点实验室）；Joint International Research Laboratory of Intelligent Perception and Computation（智能感知与计算联合国际实验室）；International Research Center for Intelligent Perception and Computation（智能感知与计算国际研究中心）；Collaborative Innovation Center of Quantum Information of Shaanxi Province（陕西省量子信息协同创新中心）；School of Artificial Intelligence, Xidian University（西安电子科技大学人工智能学院）
Mathematics of multi-agent learning systems at the interface of game theory and artificial intelligence
Peking University（北京大学）；Dartmouth College（达特茅斯学院）；Geisel School of Medicine at Dartmouth（达特茅斯盖泽尔医学院）；Beijing University of Posts and Telecommunications（北京邮电大学）
