Titlebook: Computational Intelligence in Logistics and Supply Chain Management; Thomas Hanne,Rolf Dornberger Book 2017 Springer International Publish

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Scheduling,tions on scheduling problems and discuss variants and some simple solution concepts. After that some standard scheduling problems are discussed in more detail followed by a discussion of further scheduling problems relevant to logistics and supply chain management. After that we discus solution appr

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Intelligent Software for Logistics,ligence and other areas. An obvious question is, of course, how many of them were implemented in practical software solutions and how widespread their use is by companies dealing with these particular problems.

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Jürgen Frischmuth,Wolfgang Karrleinctive variants Non-dominated Sorting GA (NSGA) and Strength Pareto EA (SPEA), Memetic Algorithms, and further methods. The most important methods belonging to SI are Particle Swarm Optimization (PSO), Discrete PSO and Ant Colony Optimization. EA and SI approaches are also attributed to the class of

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Computational Intelligence in Logistics and Supply Chain Management

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Computational Intelligence,ctive variants Non-dominated Sorting GA (NSGA) and Strength Pareto EA (SPEA), Memetic Algorithms, and further methods. The most important methods belonging to SI are Particle Swarm Optimization (PSO), Discrete PSO and Ant Colony Optimization. EA and SI approaches are also attributed to the class of

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Book 2017iscuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications.? .There appears to be a ga

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