Titlebook: Evolutionary Algorithms in Management Applications; Jörg Biethahn,Volker Nissen Book 1995 Springer-Verlag Berlin Heidelberg 1995 Evolution

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Evolutionary Algorithms in Management Applications978-3-642-61217-6

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An Introduction to Evolutionary Algorithmsr. EA have recently attracted many researchers and practitioners, not only in the management domain, due to their applicability to very complex problems. In this paper, we describe, next to the standard forms of Genetic Algorithms, Genetic Programming, Evolution Strategies and Evolutionary Programmi

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An Overview of Evolutionary Algorithms in Management Applicationsany references as possible, the overview is, of course, not complete, but should give a representative account of current focuses of research and practical applications. EA-references are divided in three major categories: practical applications in business, applications-oriented research (mainly at

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A Genetic Algorithm Applied to Resource Management in Production Systemsent. To construct production schedules with near-optimal resource exploitation, a genetic-algorithm-based system was developed, utilising a direct string representation of schedules, problem-specific initialisation and recombination procedures, elitism and local improvement of solutions. The schedul

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A Case Study of Operational Just-In-Time Scheduling Using Genetic Algorithmsates the application of a GA to a real-world scheduling problem. The objective under consideration is just-in-time completion of jobs. First, the strategic concept of just-in-time production is operationalized according to the applicational demands. Using an extract of real-world dynamic data the pr

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