Representation of Initial Temperature as a Function in Simulated Annealing...
AbstractVery important in the study of the thermodynamic characteristics of nanostructures (melting/crystallization) is the structure of nanoclusters. The properties of the nanoparticles can be...
View ArticleOptimal Placement of Internet of Things Infrastructure in a Smart Building
AbstractRecently, there is a growing trend to improve the quality of life, while reducing energy consumption and emissions of CO\(_{2}\). Here, the use of sensors, controllers, and indoor positioning...
View ArticleMultiple Knapsack Problem
AbstractThe text of this chapter is based on [1–3]. The Multiple Knapsack problem (MKP) is a hard combinatorial optimization problem with large application, which embraces many practical problems from...
View ArticleIntroduction
AbstractWe can learn a lot by observing nature. There is no waste with it. Everything is done in the most economical, optimal way. Particularly impressive is the collective intelligence of a group of...
View ArticleGeneralized Net Model for Flying Ant Colony Optimization
AbstractAnt Colony Optimization (ACO) has been used successfully to solve hard combinatorial optimization problems. The method is inspired by the foraging behavior of real ant colonies, which manage to...
View ArticleInfluence of the Temperature on Simulated Annealing Method for Metal...
AbstractThe description of the mechanisms of formation and dynamics of changes in the internal structure of nanoparticles can allow predicting the properties of these nanoparticles. Despite the modern...
View ArticleAnt Colony Optimization Algorithm for Fuzzy Transport Modelling:...
AbstractPublic transport plays an important role in our live. It is very important to have a reliable service. Up to 1000 km, trains and buses play the main role in the public transport. The number of...
View ArticleAdvanced Stochastic Approaches for Multidimensional Integrals in Neural Networks
AbstractA very important problem in the area of neural networks and machine learning is the accurate evaluation of multidimensional integrals. An introduction to the theory of the stochastic approaches...
View ArticleOn the Problem of Bimetallic Nanostructures Optimization: An Extended...
AbstractIn this paper we present an extended version of the two-stage lattice Monte Carlo approach for optimization of bimetallic nanoalloys proposed in (Mikhov R., Myasnichenko V., Kirilov L.,...
View ArticleEvaluation of MO-ACO Algorithms Using a New Fast Inter-Criteria Analysis Method
AbstractIn this paper, we present a fast Belief Function based Inter-Criteria Analysis (BF-ICrA) method based on the canonical decomposition of basic belief assignments defined on a dichotomous frame...
View ArticleSimulation of Diffusion Processes in Bimetallic Nanofilms
AbstractSurface diffusion plays a crucial role in the formation of the shape and morphology of growing nanoparticles and nanofilms. Bulk heterodiffusion occurs at uneven (irregular) concentrations of...
View ArticleCascaded Anomaly Detection with Coarse Sampling in Distributed Systems
AbstractIn this contribution, analysis of usefulness of selected parameters of a distributed information system, for early detection of anomalies in its operation, is considered. Use of statistical...
View ArticleInfluence of the ACO Evaporation Parameter for Unstructured Workforce...
AbstractOptimization of the production process is important for every factory or organization. The better organization can be done by optimization of the workforce planing. The main goal is decreasing...
View ArticleOptimized Monte Carlo Methods for Sensitivity Analysis for Large-Scale Air...
AbstractEnvironmental security is rapidly becoming a significant topic of present interest all over the world, and environmental modelling has a very high priority in various scientific fields,...
View ArticleHybrid Ant Colony Optimization Algorithms—Behaviour Investigation Based on...
AbstractThe local search procedure is a method for hybridization and improvement of the main algorithm, when complex problems are solved. It helps to avoid local optimums and to find faster the global...
View ArticleGenerating Functions and Approximations of the Caputo Fractional Derivative
AbstractThe present chapter is a continuation of the work in [6]. We construct an approximation of order 2-\(\alpha \) of the Caputo derivative. The approximation is related to the midpoint sum of the...
View ArticleGeneralized Net Model of the Consequences of Earthquake
AbstractIn order to prevent victims of natural disasters and to be able to help the injured people, local medical authorities must be provided in advance. One of the worst natural disasters is strong...
View ArticleAnt Algorithm for GPS Surveying Problem with Fuzzy Pheromone Updating
AbstractGPS system has important part of our life. We use it everyday for navigation, but it has other important use too. The GPS navigation is used by vessels, aircrafts and vehicles for safety...
View ArticleNew Ant Colony Optimization Including Weights
AbstractNP-hard problems are difficult to be solved. They need huge amount of computational resources like time and memory. The computational time grows exponentially, when the size of the problem...
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