Titlebook: Recent Advances in Computational Optimization; Results of the Works Stefka Fidanova Book 2020 Springer Nature Switzerland AG 2020 Computati

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Studies in Computational Intelligencehttp://image.papertrans.cn/r/image/822664.jpg

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https://doi.org/10.1007/978-3-030-22723-4Computational Intelligence; Algorithms for Problems; Metaheuristic Methods; Intelligent Systems; WCO 201

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,An Improved “Walk on Equations” Monte Carlo Algorithm for Linear Algebraic Systems,ate values for the relaxation parameters which leads to dramatic reduction in time and lower relative errors for a given number of iterations. Numerical tests are performed for examples with matrices of different size and on a system coming from a finite element approximation of a problem describing a beam structure in constructive mechanics.

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Developing a Method for Measuring the Failover Times of First Hop Redundancy Within Video Networks,tarted to adopt IP technologies to transport real time media within and between their facilities during production. However, the high bitrate of uncompressed media and its sensitivity to latency and timing variations requires careful design of the network in order to maintain quality of service. Con

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Desktop Application Developed by Open Source Tools for Optimizations in Cases of Natural Hazards anps in cases of wildland fires or flood events. It is developed with free and open source software. The application is desktop based and is meant for operational room support. The desktop application has two modules. The first one is about wildland fires. The second is about flood events. The main go

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Solving Sorting of Rolling Stock Problems Utilizing Pseudochain Structures in Graphs,ios and with several constrains. We focus on the train marshalling problem where the incoming cars of a train are distributed to a certain number of sorting tracks. When pulled out again to build the outgoing train, cars sharing the same destination should appear consecutively. The goal is to minimi

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InterCriteria Analysis of Different Hybrid Ant Colony Optimization Algorithms for Workforce Planninthe workers, who will do the jobs. The problem is very complex and needs exponential number of calculations, therefore special algorithms are developed to be solved. The problem is to select employers and to assign them to the jobs to be performed. This problem has very strong constraints and it is

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Different InterCriteria Analysis of Variants of ACO algorithm for Wireless Sensor Network Positioninvironment and physical conditions like movement, noise, light, humidity, images, chemical substances etc. A given area needs to be fully covered with minimal number of sensors and the energy consumption of the network needs to be minimal too. We propose several algorithms, based on Ant Colony Optim