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This two-volume set LNCS 11101 and 11102 constitutes the refereed proceedings of the 15th International Conference on Parallel Problem Solving from Nature, PPSN 2018, held in Coimbra, Portugal, in September 2018. The 79 revised full papers were carefully reviewed and selected from 205 submissions. The papers cover a wide range of topics in natural computing including evolutionary computation, artificial neural networks, artificial life, swarm intelligence, artificial immune systems, self-organizing systems, emergent behavior, molecular computing, evolutionary robotics, evolvable hardware, parallel implementations and applications to real-world problems. The papers are organized in the following topical sections: numerical optimization; combinatorial optimization; genetic programming; multi-objective optimization; parallel and distributed frameworks; runtime analysis and approximation results; fitness landscape modeling and analysis; algorithm configuration, selection, and benchmarking; machine learning and evolutionary algorithms; and applications. Also included are the descriptions of 23 tutorials and 6 workshops which took place in the framework of PPSN XV. .

Artificial intelligence. --- Computer software. --- Electronic data processing. --- Computational complexity. --- Computer science. --- Artificial Intelligence. --- Algorithm Analysis and Problem Complexity. --- Numeric Computing. --- Discrete Mathematics in Computer Science. --- Probability and Statistics in Computer Science. --- Models and Principles. --- Informatics --- Science --- Complexity, Computational --- Electronic data processing --- Machine theory --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Software, Computer --- Computer systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Automation --- Parallel processing (Electronic computers) --- Algorithms. --- Numerical analysis. --- Computer science—Mathematics. --- Mathematical statistics. --- Computers. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Calculators --- Cyberspace --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Mathematical analysis --- Algorism --- Algebra --- Arithmetic --- Statistical methods --- Foundations --- Discrete mathematics. --- Numerical Analysis. --- Models of Computation. --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis

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Since their inception in 1990, the FOGA (Foundations of Genetic Algorithms) workshops have been one of the principal reference sources for theoretical dev- opmentsinevolutionarycomputation(EC)and,inparticular,geneticalgorithms (GAs). The ninth such workshop, FOGA IX, was held at the Instituto de Ci- cias Nucleares of the Universidad Nacional Aut´ onoma de M´ exico, Mexico City during January 8-11, 2007. One of the main reasons the FOGA series of conferences has had a large impact in EC has been its distinct pro?le as the only conference dedicated to theoretical issues of a foundational  nature - both conceptual and technical. In this FOGA conference, and in keeping with this tradition, special attention was paid to the biological foundations of EC. The essential mathematical structure behind many evolutionary algorithms is the one familiar from population gen- ics, whose basic elements have been around now for at least 70 years. The last 20 years or so, however, have witnessed huge changes in our understanding of how genomes and other genetic structures work due to a plethora of new exp- imental techniques and results.

Complex analysis --- Evolution. Phylogeny --- Genetics --- Molecular biology --- Computer science --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- complexe analyse (wiskunde) --- informatica --- genetica --- Europees recht --- KI (kunstmatige intelligentie) --- robots --- moleculaire biologie