Titlebook: Recent Advances in Computational Optimization; Results of the Works Stefka Fidanova Book 2015 Springer International Publishing Switzerland

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A Hybrid Approach to Modeling, Solving and Optimization of the Constrained Decision Problems,lems. Two environments, mathematical programming (MP) and constraint programming (CP), in which constraints are treated in different ways and different methods are implemented, were combined to use the strengths of both. This integration and hybridization, complemented with an adequate transformatio

MITE

,Biased Random Key Genetic Algorithm for Multi-user Earth Observation Scheduling,thod in the area of combinatorial optimization. It is usually applied to single objective problem. It needs to be adapted for multi-objective optimization. This paper considers two adaptations. The first one presents how to select the elite set, i.e., good solutions in the population. We borrow the

AMBI

Efficient and Scalable Pareto Front Generation for Energy and Makespan in Heterogeneous Computing S simultaneously reduce operating costs and offer state-of-the-art performance. However, system performance and energy consumption are often conflicting objectives. Algorithms are necessary to help system administrators gain insight into this energy/performance trade-off. Through the use of intellige

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MITE

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Pawel Sitek,Jarosaw Wikarekic practice, became a subject of various discussions in the recent years. Not going into details, by mathematical modelling in these lectures we mean the chain of necessary steps, namely:.Generation of the physic model of the considered event → Formulation and investigation of the mathematical model

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