Titlebook: Innovative Computing, Optimization and Its Applications; Modelling and Simula Ivan Zelinka,Pandian Vasant,Tran Trong Dao Book 2018 Springer

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Innovative Computing, Optimization and Its ApplicationsModelling and Simula

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A Model of Swarm Intelligence Based Optimization Framework Adjustable According to Problems,on problems. When the associated literature is examined, it can be seen that there are lots of different Swarm Intelligence techniques and researchers are still in an unstoppable interest in designing and developing newer ones. At this point, it is possible to imagine a general Swarm Intelligence sy

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Domain Model Definition for Domain-Specific Rule Generation Using Variability Model,abstract behaviors that can apply to diverse conditions. For allowing to reuse a single process model, the configuration and customisation features can support the design improvisation. However, most of the process models are rigid and hard coded. The current proposal for automatic code generation i

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A Set-Partitioning-Based Model to Save Cost on the Import Processes, continue with the flow of the chain. In addition, it ensures compatibility in operation, voltage, power, amperage in the home and business, etc. Issuance of certificates varies in cost as a result of the way the product family is grouped, tested and measured. The following research proposes a mathe

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Combining Genetic Algorithm with Variable Neighborhood Search for MAX-SAT,in order to escape from local optima. In this paper, a variable-neighborhood-genetic-based-algorithm is proposed for the maximum satisfiability problem (MAX-SAT). Most of the work published earlier on VNS starts from the first neighborhood and moves on to higher neighborhoods without controlling and

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