Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information processing.Examples of the first strand of research covered by the handbook which has three volumesinclude neural computation inspired by the functioning of the brain; evolutionary computation inspired by Darwinian evolution of species; cellular automata inspired by intercellular communication; swarm intelligence inspired by the behavior of groups of organisms; artificial immune systems inspired by the natural immune system; artificial life systems inspired by the properties of natural life in general; membrane computing inspired by the compartmentalized ways in which cells process information; and amorphous computing inspired by morphogenesis. Other examples of natural-computing paradigms are molecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then molecular biology tools are used to transform the data, thus performing computations. In quantum computing, one exploits quantum-mechanical phenomena to perform computations and secure communications more efficiently than classical physics and, hence, traditional hardware allows.The second strand of research covered by the handbook, computation taking place in nature, is represented by investigations into, among others, the computational nature of self-assembly, which lies at the core of nanoscience, the computational nature of developmental processes, the computational nature of biochemical reactions, the computational nature of bacterial communication, the computational nature of brain processes, and the systems biology approach to bionetworks where cellular processes are treated in terms of communication and interaction, and, hence, in terms of computation.We are now witnessing exciting interaction between computer science and the natural sciences. While the natural sciences are rapidly absorbing notions, techniques and methodologies intrinsic to information processing, computer science is adapting and extending its traditional notion of computation, and computational techniques, to account for computation taking place in nature around us. Natural Computing is an important catalyst for this two-way interaction, and this three-volume handbook is a major record of this important development.
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- Antonov K, Kononova A, Bäck T and van Stein N Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, (15-26)
- Stork J, Eiben A and Bartz-Beielstein T (2022). A new taxonomy of global optimization algorithms, Natural Computing: an international journal, 21:2, (219-242), Online publication date: 1-Jun-2022.
- Jiang S and Dang C (2021). A more efficient deterministic annealing neural network algorithm for the max-bisection problem, Neurocomputing, 458:C, (428-439), Online publication date: 11-Oct-2021.
- Cao Z and Wang L (2019). A comprehensive study of phase based optimization algorithm on global optimization problems and its applications, Applied Intelligence, 49:4, (1355-1375), Online publication date: 1-Apr-2019.
- Tavanaei A, Ghodrati M, Kheradpisheh S, Masquelier T and Maida A (2019). Deep learning in spiking neural networks, Neural Networks, 111:C, (47-63), Online publication date: 1-Mar-2019.
- Shir O, Doerr C and Bäck T Compiling a benchmarking test-suite for combinatorial black-box optimization Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1753-1760)
- Adams R and van Zijl L Ant sorting based on cellular automata with clustering Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, (29-38)
- Imbernón B, Cecilia J, Pérez-Sánchez H and Giménez D (2018). METADOCK, International Journal of High Performance Computing Applications, 32:6, (789-803), Online publication date: 1-Nov-2018.
- Yu C, Lian Q, Zhang D and Wu C (2018). PAME, Journal of Parallel and Distributed Computing, 111:C, (136-151), Online publication date: 1-Jan-2018.
- Imbernón B, Cecilia J, Cutillas-Lozano J and Giménez D Designing HYPERDOCK Workshop Proceedings of the 47th International Conference on Parallel Processing, (1-8)
- Espaa R, Hernndez-Daz A, Cecilia J and Garca-Romn M (2017). Evolutionary strategies as applied to shear strain effects in reinforced concrete beams, Applied Soft Computing, 57:C, (164-176), Online publication date: 1-Aug-2017.
- Picek S, Sisejkovic D and Jakobovic D (2017). Immunological algorithms paradigm for construction of Boolean functions with good cryptographic properties, Engineering Applications of Artificial Intelligence, 62:C, (320-330), Online publication date: 1-Jun-2017.
- Stein A, Rauh D, Tomforde S and Hhner J (2017). Interpolation in the eXtended Classifier System, Journal of Systems Architecture: the EUROMICRO Journal, 75:C, (79-94), Online publication date: 1-Apr-2017.
- Imbernón B, Cecilia J and Giménez D Enhancing Metaheuristic-based Virtual Screening Methods on Massively Parallel and Heterogeneous Systems Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, (50-58)
- Chen X, Prez-Jimnez M, Valencia-Cabrera L, Wang B and Zeng X (2016). Computing with viruses, Theoretical Computer Science, 623:C, (146-159), Online publication date: 11-Apr-2016.
- Skowron A Complex Adaptive Systems and Interactive Granular Computing Computer Information Systems and Industrial Management, (17-22)
- Alsalibi B, Venkat I, Subramanian K, Lutfi S and Wilde P (2015). The Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition, ACM Computing Surveys, 48:1, (1-33), Online publication date: 29-Sep-2015.
- Burgin M and Dodig-Crnkovic G A Taxonomy of Computation and Information Architecture Proceedings of the 2015 European Conference on Software Architecture Workshops, (1-8)
- van Zijl L Clustering in 1D Binary Elementary Cellular Automata Proceedings of the 2015 Annual Research Conference on South African Institute of Computer Scientists and Information Technologists, (1-7)
- Lones M Metaheuristics in nature-inspired algorithms Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, (1419-1422)
- Jankowski A, Skowron A and Swiniarski R (2014). Perspectives on Uncertainty and Risk in Rough Sets and Interactive Rough-Granular Computing, Fundamenta Informaticae, 129:1-2, (69-84), Online publication date: 1-Jan-2014.
- Konur S, Gheorghe M, Dragomir C, Ipate F and Krasnogor N (2014). Conventional Verification for Unconventional Computing, Fundamenta Informaticae, 134:1-2, (97-110), Online publication date: 1-Jan-2014.
- Brijder R, Gillis J and Van den Bussche J The DNA query language DNAQL Proceedings of the 16th International Conference on Database Theory, (1-9)
- Setiawan S and Cerone A Stochastic Modelling of Seasonal Migration Using Rewriting Systems with Spatiality Revised Selected Papers of the SEFM 2013 Collocated Workshops on Software Engineering and Formal Methods - Volume 8368, (313-328)
- Cooper S (2012). Turing's Titanic machine?, Communications of the ACM, 55:3, (74-83), Online publication date: 1-Mar-2012.
- Ollinger N Tutorial on cellular automata Proceedings of the 10th international conference on Unconventional computation, (34-35)
Index Terms
- Handbook of Natural Computing