PPT-Human Competitive Results of Evolutionary Computation

Presenter Mati Bot Course Advance Seminar in Algorithms Prof Yefim Dinitz HumanCompetitiveness Definition Evolving HyperHeuristics using Genetic Programming RushHour bronze . Steven . M. . Roels. Department . of Zoology, Michigan State . University. Introduction. “. It follows that naturalistic evolution will not attract a majority of Americans until our nation becomes less religious.” – . Khaled Rasheed. Computer Science Dept.. University of Georgia. http://www.cs.uga.edu/~khaled. Genetic algorithms. Parallel genetic algorithms. Genetic programming. Evolution strategies. Classifier systems. vs.. poker games. Yikan. Chen (yc2r@virginia.edu). Weikeng. Qin (wq7yt@virginia.edu). 1. Outline. 2. Evolutionary Algorithm. Poker!. Artificial Neural Network. E-ANN. Evolutionary algorithm. 3. Evolutionary algorithm. Domestication. Pedro . Semōes. , . Josiane. Santos, Margarida Matos. Presentation by . Priya. Singha, UC, Irvine. Some questions for you to think about:. What is . domestication. ? How do different . Dr. . Jagdish. . kaur. P.G.G.C.,Sector. 11. , Chandigarh. . . SIMPLY THE CHANGES OVER TIME. EVOLUTION. Human Evolution. The evolutionary timeline is divided into sections of time called eras – which are then divided into smaller units of time called periods.. A. lgorithms. Andrew . Cannon. Yuki Osada. Angeline Honggowarsito. Contents. What are Evolutionary Algorithms (EAs. )?. Why are EAs Important?. Categories of EAs. Mutation. Self . Adaptation. Recombination. Multi-objective Evolutionary Optimization. 1. Sources. “Handbook of Natural Computing,” Editors . Grzegorz. Rosenberg, Thomas Back and . Joost. N. . Kok. , Springer 2014. . “Multi-Objective Evolutionary Algorithms”, . Human. Behavioral Ecology. Evolutionary . Psychology. Hay Day. 1960s. 1970s. 1990 - . 1990 - . Focus on. Universals;. Continuity with Animals. Universals;. . Function. Variation & Diversity. ;. Function. A discussion of the field of . evolutionary psychology. The study of behavior and mental function. Goal is to understand behavior . Psychology. Studies how evolution has. generated the diversity . of living organisms. Charly Collin – . Sumanta. . Pattanaik. – Patrick . LiKamWa. Kadi Bouatouch. Painted materials. Painted materials. Painted materials. Painted materials. Our goal. Base layer. Binder thickness. Evo. . Psyc. is the application of Darwinian principles to the understanding of human nature..  . To understand how Darwinian principles are applied to humans one must first understand a number of concepts and premises upon which . Chapter. 2: . Evolutionary. Computing: the . Origins. Historical perspective. Biological inspiration:. Darwinian evolution theory . (simplified!). Genetics . (simplified!). Motivation for EC . 2. EVOLUTIONARY BIOLOGYCASE WESTERN RESERVE UNIVERSITY . COMPETITIVE ADVANTAGE. Fakultas Ekonomi. Universitas Negeri Yogyakarta. 2012. Introduction. Strategy . is an ambiguous term. Johnson and . Scholes. define strategy as the direction and scope of .