Titlebook: Recent Advances in Soft Computing; Proceedings of 23rd Radek Matou?ek Conference proceedings 2019 Springer Nature Switzerland AG 2019 Soft

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Stochastic Heuristics for Knapsack Problemsf NP-completeness of the problem, more complex problem instances must be solved by means of heuristic techniques to achieve an approximation of the exact solution in a reasonable amount of time. The problem representations and parameter settings for a genetic algorithm and simulated annealing frameworks are shown.

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Weak Ties and How to Find Them decade, one of the major topics in network science, with applications ranging from e-commerce in social networks or web page characterizations, up to control and engineering problems. There are many methods, which characterize, how well a network is split into communities or clusters, and a set of

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Adaptation of Sport Training Plans by Swarm Intelligencees the sports training process in practice dramatically. These algorithms are capable of generating sophisticated training plans based on an archive of the existing sports training sessions. In recent years, training plans have been generated for various sport disciplines, like road cycling, mountai

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On the Influence of Localisation and Communication Error on the Behaviour of a Swarm of Autonomous Unterest, like dumped radioactive waste or ammunition. The overall search strategy of the swarm is based on particle swarm optimisation (PSO). Standard PSO relies on correct localisation and timely communication in order to be able to converge towards the global optimum. However, underwater communica

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