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Natural Computing

Inhalt (9 Artikel)

Nature-inspired learning and adaptive systems

Bogdan Gabrys, Davide Anguita

Integrative connectionist learning systems inspired by nature: current models, future trends and challenges

Nikola Kasabov

A framework for machine learning based on dynamic physical fields

Dymitr Ruta, Bogdan Gabrys

A survey on metaheuristics for stochastic combinatorial optimization

Leonora Bianchi, Marco Dorigo, Luca Maria Gambardella, Walter J. Gutjahr

Negative correlation in incremental learning

Fernanda Li Minku, Hirotaka Inoue, Xin Yao

Solving the subset-sum problem with a light-based device

Mihai Oltean, Oana Muntean

Successful preparation and analysis of a 5-site 2-variable DNA library

Susannah Gal, Nancy Monteith, Anthony J. Macula

Competition and evolution in virtual plant communities: a new modeling approach

Stefan Bornhofen, Claude Lattaud

Autopoiesis, the immune system, and adaptive information filtering

Nikolaos Nanas, Anne de Roeck

Mär 09

Ausgabe: 1/2009

Special Issue on learning classifier systems

Sep 09

Ausgabe: 3/2009

Special Issue on Physics and Computation/Guest Edited by: Cristian S. Calude and Jose Felix Costa

Aktuelle Ausgaben

Natural Computing 1/2024
Part 1: Special Issue: Selected Papers from the 15th International Conference Cellular Automata for Research and Industry (ACRI2022)
Natural Computing 4/2023
Part 1: Special Issues: Bio-inspired Computing Approaches for Problem Solving
Natural Computing 3/2023
Part 1: Special Issues: AUTOMATA 2021: Cellular Automata, Discrete Complex Systems and Automata Networks
Natural Computing 2/2023
Part 1: Special Issues: Deterministic and Stochastics Methods for Multiobjective Optimization
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Natural Computing 4/2022
Part 1: Special Issue: Selected Papers from the 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain / Special Issue: Selected Papers from the 8th International Conference on the Theory and Practice of Natural Computing, TPNC 2019, Kingston ON, Canada
Natural Computing 3/2022
Part 1: Special Issue: Cellular Automata for Research and Industry (ACRI) 2020
Natural Computing 2/2022
Special Issue: Understanding of Evolutionary Optimization Behavior, Part 2
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Springer Professional

Natural Computing

Ausgabe 2/2009

Special issue on Nature-inspired learning and adaptive systems. Guest Editors: Bogdan Gabrys and Davide Anguita

Inhalt (9 Artikel)

Nature-inspired learning and adaptive systems

Integrative connectionist learning systems inspired by nature: current models, future trends and challenges

A framework for machine learning based on dynamic physical fields

A survey on metaheuristics for stochastic combinatorial optimization

Negative correlation in incremental learning

Solving the subset-sum problem with a light-based device

Successful preparation and analysis of a 5-site 2-variable DNA library

Competition and evolution in virtual plant communities: a new modeling approach

Autopoiesis, the immune system, and adaptive information filtering

Aktuelle Ausgaben

Part 1: Special Issue: Selected Papers from the 15th International Conference Cellular Automata for Research and Industry (ACRI2022)

Part 1: Special Issues: Bio-inspired Computing Approaches for Problem Solving

Part 1: Special Issues: AUTOMATA 2021: Cellular Automata, Discrete Complex Systems and Automata Networks

Part 1: Special Issues: Deterministic and Stochastics Methods for Multiobjective Optimization

Special Issue: CMC-ACMC-21 Membrane Computing — Selected papers based on the International Conference on Membrane Computing in August 2021 (European chapter CMC and the Asian chapter ACMC)

Part 1: Special Issue: Cellular Automata for Research and Industry (ACRI) 2020

Special Issue: Understanding of Evolutionary Optimization Behavior, Part 2

Part 1: Special Issue: Automata 2019 — Selected papers from the 25th International workshop on Cellular Automata and Discrete Complex Systems