Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies Y. Akimoto University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Japan akimoto@cs.tsukuba.ac.jp N. Hansen Inria, RandOpt Team, CMAP, Ecole Polytechnique, Palaiseau, France nikolaus.hansen@inria.fr https://doi.org/10.1162/evco_a_00260 Abstract We introduce an acceleration…
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Evolution of Deep Convolutional Neural
Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming Masanori Suganuma RIKEN Center for AIP, Tokyo, Japan Tohoku University, Miyagi, Japan suganuma@vision.is.tohoku.ac.jp Masayuki Kobayashi Shinichi Shirakawa Tomoharu Nagao Yokohama National University, Kanagawa, Japan kobayashi-masayuki-xc@ynu.jp…
A Tandem Evolutionary Algorithm for
A Tandem Evolutionary Algorithm for Identifying Causal Rules from Complex Data John P. Hanley Donna M. Rizzo Department of Civil and Environmental Engineering, University of Vermont, Burlington, 05405, USA jhanley@uvm.edu drizzo@uvm.edu Jeffrey S. Buzas Department…
A Revisit of Infinite Population Models for
A Revisit of Infinite Population Models for Evolutionary Algorithms on Continuous Optimization Problems Bo Song Department of Electrical and Electronic Engineering, the University of Hong Kong, Pokfulam, Hong Kong bsong@connect.hku.hk Victor O.K. Li Department of…
Global Convergence of the (1 + 1) Evolution
Global Convergence of the (1 + 1) Evolution Strategy to a Critical Point Tobias Glasmachers Institute for Neural Computation, Ruhr-University, Bochum, Germany tobias.glasmachers@ini.rub.de https://doi.org/10.1162/evco_a_00248 Abstract We establish global convergence of the (1 + 1) evolution…
A Meta-Objective Approach for
A Meta-Objective Approach for Many-Objective Evolutionary Optimization Dunwei Gong School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China Yiping Liu* School of Information and Control Engineering, China University of…
Emergent Solutions to High-Dimensional
Emergent Solutions to High-Dimensional Multitask Reinforcement Learning Stephen Kelly Department of Computer Science, Dalhousie University, 6050 University Avenue, Halifax, NS, B3H 4R2, Canada skelly@cs.dal.ca Malcolm I. Heywood Department of Computer Science, Dalhousie University, 6050 University…
Anatomy of the Attraction Basins:
Anatomy of the Attraction Basins: Breaking with the Intuition Leticia Hernando Intelligent Systems Group, Department of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, 20018 San Sebastián, Spain leticia.hernando@ehu.eus Alexander Mendiburu Intelligent…
A Hidden Markov Model Approach to
A Hidden Markov Model Approach to the Problem of Heuristic Selection in Hyper-Heuristics with a Case Study in High School Timetabling Problems Ahmed Kheiri∗ University of Exeter, College of Engineering, Mathematics and Physical Sciences, Streatham…
Deterministic Agent-Based Path Optimization
Deterministic Agent-Based Path Optimization by Mimicking the Spreading of Ripples Xiao-Bing Hu State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China; School of Engineering, University of Warwick, Coventry,…