Showing 5 open source projects for "combinatorial"

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  • 1
    OPTSYS Framework Optimization Suite

    OPTSYS Framework Optimization Suite

    Software Framework for Combinatorial Optimization using Metaheuristics

    Die OPTSYS Framework Optimization Suite ist nicht nur eine Optimierungssoftware, sondern darüber hinaus ein umfangreiches Softwareframework für die kombinatorische Optimierung mit einem besonderen Fokus auf heuristische Lösungsmethoden. Das Framework versteht sich als Expertensystem zur Abbildung von kombinatorischen Optimierungsproblemen und für die Umsetzung, Anwendung und Evaluierung von zugehörigen Lösungsmethoden. Aufgrund der vielfältigen Funktionen zur Evaluation eignet es sich...
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  • 2

    HH-Evolver

    A framework for domain-specific, hyper-heuristic evolution

    HH-Evolver is a framework for domain-specific, hyper-heuristic evolution. HH-Evolver automates the design of domain-specific heuristics for planning domains. Hyper-heuristics generated by our tool can then be used with combinatorial search algorithms such as A* and IDA* for solving problems of the given domain.
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  • 3

    MARC Library ( SobekCM )

    Another C# MARC Record implementation

    This is a C# library which contains classes for working in memory with MARC records ( http://www.loc.gov/marc/ ). This allows records to be read from MarcXML and Marc21 formats. Once in memory any field or subfield can be edited, added, or deleted. Then the record can be queried or saved again in either a MarcXML or Marc21 file format. In addition, version 1.1 includes Z39.50 capability and auto-translation from the most common MARC8 characters into Unicode.
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  • 4
    Shears is a C# library for list processing, combinatorial problems, and functional programming. It is intended to be useful for everyday coding, with an emphasis on producing brief, readable code. It's also lots of fun!
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  • 5
    The aim of the PL-PSF project is to create a generic domain-independent combinatorial problem solver. It uses a petri-nets based model to represent the problems and problem decomposition/abstraction with graph topology analysis to solve them.
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