Titlebook: Artificial Intelligence Perspectives and Applications; Proceedings of the 4 Radek Silhavy,Roman Senkerik,Petr Silhavy Conference proceeding

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elucidate

Hierarchical Approach for VLSI Components Placement,level a preliminary decomposition of search space with the use of evolutionary algorithms is performed. Geometric parameters of each group are determined by the total area of its constituent components. At the second level VLSI components are placed within decomposition groups on the basis of the mo

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Pre-processing, Repairing and Transfer Functions Can Help Binary Electromagnetism-Like Algorithms,ectromagnetism theory. This paper focuses on improving performance of this metaheuristic when solving binary problems. To this end, we incorporate three elements: pre-processing, repairing, and transfers functions. The pre-processing allows to reduce the size of instances, while repairing eliminates

Systemic

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Self-learning of the Containers Service Coordinator Agent in Multi-agent Automation Environment of it cargo terminal. The terminal operates with three-dimensional blocks which contain packaged goods: it receives arriving blocks, temporarily stores and sends them to the customers. Blocks are transported on trucks in a receptacle of limited size, conventionally called a container. When the resource

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Predicting Financial Distress of Banks Using Random Subspace Ensembles of Support Vector Machines,is study, a model based on random subspace method is proposed to predict investment/non-investment rating grades of U.S. banks. We show that support vector machines can be effectively used as base learners in the meta-learning model. We argue that both financial and non-financial (sentiment) informa

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nocturia

Using Fuzzy Logic Controller in Ant Colony Optimization,s and fuzzy terms like ?a little?, ?much?, ?almost? etc. Fuzzy logic controller was developed to define fuzzy rules. This controller allows to regulate values of heuristic coefficients of ant colony optimization dynamically. Experimental research was carried out. The results received show high effec

Cloudburst

WSM Tuning in Autonomous Search via Gravitational Search Algorithms,expert user. The goal is to provide more capabilities to the solver in order to improve the search process based on some performance indicators and self-tuning. This approach has effectively been applied to different optimization and satisfaction techniques such as constraint programming, SAT, and v