Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The FOGA workshop series aims at advancing our understanding of the working principles behind evolutionary algorithms and related randomized search heuristics. FOGA is the premier event to discuss advances in the theoretical foundations of these algorithms, tools needed to analyze them, and different aspects of comparing algorithms' performance. FOGA XV has welcomed submissions covering the entire spectrum of work, ranging from rigorously derived mathematical results to carefully crafted empirical studies.

Genetic algorithms --- Machine learning --- Combinatorial optimization

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.

Computers. --- Artificial intelligence. --- Computer science—Mathematics. --- Mathematical statistics. --- Theory of Computation. --- Artificial Intelligence. --- Mathematics of Computing. --- Discrete Mathematics in Computer Science. --- Probability and Statistics in Computer Science. --- Information Systems and Communication Service. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Statistical methods --- Computer science. --- Discrete mathematics. --- Computer networks. --- Computer Communication Networks. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis --- Informatics --- Science --- Distributed processing

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.

Mathematical statistics --- Mathematics --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computers --- informatica --- statistiek --- externe fixatie (geneeskunde --- software engineering --- KI (kunstmatige intelligentie) --- AI (artificiële intelligentie)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Mathematical statistics --- Mathematics --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computers --- informatica --- statistiek --- externe fixatie (geneeskunde --- software engineering --- KI (kunstmatige intelligentie)