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Natural Computing Series
2023
- Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin C. Purshouse:
Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Challenges, and Future Perspectives. Natural Computing Series, Springer 2023, ISBN 978-3-031-25262-4 [contents] - José Raúl Romero, Inmaculada Medina-Bulo, Francisco Chicano:
Optimising the Software Development Process with Artificial Intelligence. Natural Computing Series, Springer 2023, ISBN 978-981-19-9948-2 [contents] - Leonardo Vanneschi, Sara Silva:
Lectures on Intelligent Systems. Natural Computing Series, Springer 2023, ISBN 978-3-031-17921-1, pp. 1-331 - Yaochu Jin:
Computational Evolution of Neural and Morphological Development - Towards Evolutionary Developmental Artificial Intelligence. Natural Computing Series, Springer 2023, ISBN 978-981-99-1853-9, pp. 1-273
2022
- Neil Urquhart:
Nature Inspired Optimisation for Delivery Problems - From Theory to the Real World. Natural Computing Series, Springer 2022, ISBN 978-3-030-98107-5, pp. 3-256 - Tome Eftimov, Peter Korosec:
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms. Natural Computing Series, Springer 2022, ISBN 978-3-030-96916-5, pp. 1-124
2021
- Mike Preuss, Michael G. Epitropakis, Xiaodong Li, Jonathan E. Fieldsend:
Metaheuristics for Finding Multiple Solutions. Natural Computing Series, Springer 2021, ISBN 978-3-030-79552-8 [contents] - Kohei Nakajima, Ingo Fischer:
Reservoir Computing - Theory, Physical Implementations, and Applications. Natural Computing Series, Springer 2021, ISBN 978-981-13-1686-9 [contents] - Nelishia Pillay, Rong Qu:
Automated Design of Machine Learning and Search Algorithms. Natural Computing Series, Springer 2021, ISBN 978-3-030-72068-1 [contents]
2020
- Benjamin Doerr, Frank Neumann:
Theory of Evolutionary Computation - Recent Developments in Discrete Optimization. Natural Computing Series, Springer 2020, ISBN 978-3-030-29413-7 [contents] - Hitoshi Iba, Nasimul Noman:
Deep Neural Evolution - Deep Learning with Evolutionary Computation. Natural Computing Series, Springer 2020, ISBN 978-981-15-3684-7 [contents] - Alan J. Lockett:
General-Purpose Optimization Through Information Maximization. Natural Computing Series, Springer 2020, ISBN 978-3-662-62006-9, pp. 1-485
2018
- Susan Stepney, Steen Rasmussen, Martyn Amos:
Computational Matter. Natural Computing Series, Springer 2018, ISBN 978-3-319-65824-7 [contents] - Anthony Brabazon, Seán McGarraghy:
Foraging-Inspired Optimisation Algorithms. Natural Computing Series, Springer 2018, ISBN 978-3-319-59155-1, pp. 1-433 - Nelishia Pillay, Rong Qu:
Hyper-Heuristics: Theory and Applications. Natural Computing Series, Springer 2018, ISBN 978-3-319-96513-0, pp. 3-101 - Bastien Chopard, Marco Tomassini:
An Introduction to Metaheuristics for Optimization. Natural Computing Series, Springer 2018, ISBN 978-3-319-93072-5, pp. 1-214
2016
- Peter R. Lewis, Marco Platzner, Bernhard Rinner, Jim Tørresen, Xin Yao:
Self-aware Computing Systems - An Engineering Approach. Natural Computing Series, Springer 2016, ISBN 978-3-319-39674-3 [contents] - Gustavo Olague:
Evolutionary Computer Vision - The First Footprints. Natural Computing Series, Springer 2016, ISBN 978-3-662-43692-9, pp. 3-401
2015
- Martin A. Trefzer, Andy M. Tyrrell:
Evolvable Hardware - From Practice to Application. Natural Computing Series, Springer 2015, ISBN 978-3-662-44615-7 [contents] - Anthony Brabazon, Michael O'Neill, Seán McGarraghy:
Natural Computing Algorithms. Natural Computing Series, Springer 2015, ISBN 978-3-662-43630-1, pp. 1-504 - A. E. Eiben, James E. Smith:
Introduction to Evolutionary Computing, Second Edition. Natural Computing Series, Springer 2015, ISBN 978-3-662-44873-1, pp. 1-258 - Mike Preuss:
Multimodal Optimization by Means of Evolutionary Algorithms. Natural Computing Series, Springer 2015, ISBN 978-3-319-07406-1, pp. 1-175
2014
- Natasa Jonoska, Masahico Saito:
Discrete and Topological Models in Molecular Biology. Natural Computing Series, Springer 2014, ISBN 978-3-642-40192-3 [contents] - Yossi Borenstein, Alberto Moraglio:
Theory and Principled Methods for the Design of Metaheuristics. Natural Computing Series, Springer 2014, ISBN 978-3-642-33205-0 [contents]
2013
- Shigeyoshi Tsutsui, Pierre Collet:
Massively Parallel Evolutionary Computation on GPGPUs. Natural Computing Series, Springer 2013, ISBN 978-3-642-37958-1 [contents] - Thomas Jansen:
Analyzing Evolutionary Algorithms - The Computer Science Perspective. Natural Computing Series, Springer 2013, ISBN 978-3-642-17338-7, pp. 1-236 - Thomas Bäck, Christophe Foussette, Peter Krause:
Contemporary Evolution Strategies. Natural Computing Series, Springer 2013, ISBN 978-3-642-40136-7, pp. 1-86
2011
- Julian F. Miller:
Cartesian Genetic Programming. Natural Computing Series, Springer 2011, ISBN 978-3-642-17309-7 [contents] - Giovanna Di Marzo Serugendo, Marie-Pierre Gleizes, Anthony Karageorgos:
Self-organising Software - From Natural to Artificial Adaptation. Natural Computing Series, Springer 2011, ISBN 978-3-642-17347-9 [contents] - Bogdan Aman, Gabriel Ciobanu:
Mobility in Process Calculi and Natural Computing. Natural Computing Series, Springer 2011, ISBN 978-3-642-24866-5, pp. 1-194 - Franz Rothlauf:
Design of Modern Heuristics. Natural Computing Series, Springer 2011, ISBN 978-3-540-72961-7, pp. 1-225
2008
- Christian Blum, Daniel Merkle:
Swarm Intelligence: Introduction and Applications. Natural Computing Series, Springer 2008, ISBN 978-3-540-74088-9 [contents] - Juan Romero, Penousal Machado:
The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music. Natural Computing Series, Springer 2008, ISBN 978-3-540-72876-4 [contents] - Patrick Siarry, Zbigniew Michalewicz:
Advances in Metaheuristics for Hard Optimization. Natural Computing Series, Springer 2008, ISBN 978-3-540-72959-4 [contents]
2006
- Gabriel Ciobanu, Mario J. Pérez-Jiménez, Gheorghe Paun:
Applications of Membrane Computing. Natural Computing Series, Springer 2006, ISBN 978-3-540-25017-3 [contents] - Junghuei Chen, Natasa Jonoska, Grzegorz Rozenberg:
Nanotechnology: Science and Computation. Natural Computing Series, Springer 2006, ISBN 978-3-540-30295-7 [contents]
2006
- A. E. Eiben, James E. Smith:
Introduction to Evolutionary Computing. Natural Computing Series, Springer 2003, ISBN 978-3-642-07285-7, pp. 1-300
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