Titlebook: Information Technology, Systems Research, and Computational Physics; Piotr Kulczycki,Janusz Kacprzyk,Rafal Wisniewski Conference proceedin

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A Memetic Version of the Bacterial Evolutionary Algorithm for Discrete Optimization Problemsbines the Bacterial Evolutionary Algorithm with discrete local search techniques (2-opt and 3-opt)..The algorithm has been tested on four discrete NP-hard optimization problems so far, on the Traveling Salesman Problem, and on its three variants (the Traveling Salesman Problem with Time Windows, the

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On the Convergence of Fuzzy Grey Cognitive Mapsexpressed by so-called grey numbers. Similarly to FCMs, the inference is determined by an iteration process, which may converge to an equilibrium point, but limit cycles or chaotic behaviour may also turn up..In this paper, based on the grey weighted connections between the concepts and the paramete

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Hierarchical Fuzzy Decision Support Methodology for Packaging System Designolutions and expenses. The decisions often involve a choice between one-way (disposable) and reusable (returnable) packaging solutions. Even nowadays, in most cases the decisions are made based on traditions and mainly consider the material and investment costs. Although cost is an important factor,

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Efficient Astronomical Data Condensation Using Fast Nearest Neighbors Searchired using advanced observational tools. While other challenges typical for the class of Big Data problems - like data variety - are also present, datasets size represents the most significant obstacle in visualization, and subsequent analysis. The paper studies efficient data condensation algorithm

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Similarity-Based Outlier Detection in Multiple Time Series fast and reliable. These factors are hard to achieve when the data analysed is highly dimensional, such is the case with multiple time series data sets. In this article, various outlier detection methods (distance distribution-based methods, angle-based methods, .-nearest neighbour, local density a

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Metaheuristics in Physical Processes Optimizationpared evolutionary algorithm (EA) - to find the approximate solution of the Wessinger’s equation, which is a nonlinear, first order, ordinary differential equation. Both methods were compared as an ANN training tool. Then, application of this method in selected physical processes is discussed.

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Crisp vs Fuzzy Decision Support Systems for the Forex Markets of the technical analysis and generate buy or sell signal only when assumed conditions for a given indicator are satisfied. The information presented to the trader – decision maker is binary. The decision maker obtains a signal or no. In comparison to the existing traditional systems called as cri

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A Hybrid Cascade Neural Network with Ensembles of Extended Neo-Fuzzy Neurons and Its Deep Learnings and a new peculiar adaptive training rule. The main trait of the offered system is its competence to continue intensifying its cascades until the required accuracy is gained. A distinctive rapid training procedure is also covered for this case that gives the possibility to operate with nonstationa