By Ioannis Hatzilygeroudis, Vasile Palade, Jim Prentzas

Complex difficulties often can't be solved through person equipment or options and require the synergism of multiple of them to be solved. This publication provides a few present efforts that use mixtures of equipment or thoughts to unravel advanced difficulties within the components of sentiment research, seek in GIS, graph-based social networking, clever e-learning structures, information mining and advice structures. so much of them are hooked up with particular purposes, while the remaining are mixtures in line with rules. many of the chapters are prolonged models of the corresponding papers awarded in CIMA-15 Workshop, which happened at the side of IEEE ICTAI-15, in November 2015. the remaining are invited papers that replied to important demand papers for the publication. The ebook is addressed to researchers and practitioners from academia or undefined, who're attracted to utilizing mixed equipment in fixing complicated difficulties within the above areas.

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Additional info for Advances in Combining Intelligent Methods: Postproceedings of the 5th International Workshop CIMA-2015, Vietri sul Mare, Italy, November 2015 (at ICTAI 2015)

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61(2), 31–37 (2005) 25. : News or Noise? Internet Message Board Activity and Stock Prices (2000) 26. : The Framing of decisions and the psychology of choice. Science 211(4481), 453–458 (1981). 7455683 27. : News coverage and support for european integration, 1990–2006. Int. J. Public Opin. Res. 20(4), 415–436 (2008) 28. : Stacked generalization. Neural Networks 5, 241 (1992) Chapter 2 On the Effect of Adding Nodes to TSP Instances: An Empirical Analysis Gloria Cerasela Crişan, Elena Nechita and Vasile Palade Abstract Our human society is experiencing complex problems nowadays, which require large amounts of computing resources, fast algorithms and efficient implementations.

The instance dimension, restrictions and structure can have an important effect on the resources needed by the solving application. C. Crişan et al. very important in operational decisions, for example in case of disasters or military attacks [75, 76]. Discovering difficult instances can be helpful for solvers’ designers, who can continuously improve their applications to better treat these reluctant cases. Extracting features that influence the difficultness of an instance can orient the research in optimization through narrowing the investigated solution space and consequently in finding more quickly the optimum solution.

Reducibility among combinatorial problems. W. ) Complexity of Computer Computations, Advances in Computer Research, pp. 85–103. Plenum Press, (1972) 8. : Euclidean TSP is NP-complete. Theoret. Comput. Sci. 4, 237–244 (1977) 9. : The Traveling Salesman Problem: A Computational Study. Princeton University Press, Princeton, NJ, USA (2011) 10. : Probabilistic Traveling Salesman Problems. PhD Thesis, MIT, Cambridge, MA, USA (1985) 11. : Probabilistic traveling salesman problem: a survey. In: Position Paper of the 2014 Federated Conference on Computer Science and Information Systems, pp.

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