By Ioannis Hatzilygeroudis, Vasile Palade, Jim Prentzas
Complex difficulties often can't be solved by means of person tools or thoughts and require the synergism of multiple of them to be solved. This ebook offers a few present efforts that use combos of equipment or suggestions to resolve advanced difficulties within the parts of sentiment research, seek in GIS, graph-based social networking, clever e-learning platforms, info mining and suggestion platforms. such a lot of them are attached with particular purposes, while the remaining are mixtures according to ideas. many of the chapters are prolonged types of the corresponding papers provided in CIMA-15 Workshop, which happened together with IEEE ICTAI-15, in November 2015. the remainder are invited papers that spoke back to important demand papers for the publication. The booklet is addressed to researchers and practitioners from academia or undefined, who're drawn to utilizing mixed tools in fixing complicated difficulties within the above areas.
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Extra resources for Advances in Combining Intelligent Methods: Postproceedings of the 5th International Workshop CIMA-2015, Vietri sul Mare, Italy, November 2015 (at ICTAI 2015)
By exclusion, in 30 % of the cases, the effect of the new node was not minimal. We can conclude that the sequence of the real-world TSP instances we used in our experiment manifest hard-to-predict characteristics of the optimum solutions. Moreover, the solving time was not continuous and the insertion of a new node into the optimum solution was not simple either, as frequent as we expected. 5 Conclusions and Future Work This paper investigates the behavior of an exact TSP solver when it approaches similar instances.
MIT Press, Cambridge (2004) 54. : On the resilience of an ant-based system in fuzzy environments. an empirical study. In: Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, Beijing, China, pp. 2588–2593 (2014) 55. : Evolutionary discrete ﬁrefly algorithm for traveling salesman problem, ICAIS 2011. Lecture Notes in Artiﬁcial Intelligence (LNAI 6943), pp. 393–403 (2011) 56. : On the performance of artiﬁcial bee colony (ABC) algorithm. Appl. Soft Comput. 8(1), 687–697 (2008) 57.
Arvanitis and N. Bassiliades Acknowledgments We would like to give special thanks to Dr. Theologos Dergiades, Academic Associate of the School of Science & Technology at the International Hellenic University, Thessaloniki, Greece, for his advice and assistance whenever it was needed. References 1. : Is all that talk just noise? The information content of Internet stock message boards. J. Finance 59(3), 1259–1294 (2004) 2. : Investor sentiment and the cross-section of stock returns. J. Finance 61 (4), 1645–1680 (2006) 3.
Advances in Combining Intelligent Methods: Postproceedings of the 5th International Workshop CIMA-2015, Vietri sul Mare, Italy, November 2015 (at ICTAI 2015) by Ioannis Hatzilygeroudis, Vasile Palade, Jim Prentzas