Metadata-Version: 1.1
Name: optproblems
Version: 0.2
Summary: Infrastructure to define optimization problems and some test problems for black-box optimization
Home-page: https://ls11-www.cs.tu-dortmund.de/people/swessing/optproblems/doc/
Author: Simon Wessing
Author-email: simon.wessing@tu-dortmund.de
License: BSD
Description: Description
        ===========
        
        This package contains a collection of common benchmark problems for black-box
        optimization. Under the term "black-box problem", we understand problems for
        which only little is known about their structure and properties. Such problems
        usually appear in practice when simulator output or some other complex system
        with nonlinear behavior is to be optimized.
        
        Contained test problems:
        
        * Binary problems OneMax, LeadingOnes, and LeadingOnesTrailingZeros
        * Multiple Peaks Model 2
        * Walking Fish Group (WFG) toolkit
        * ZDT collection for multiobjective optimization
        
        More test problems shall follow in the future.
        
        The infrastructure of this package can also be used to wrap your own
        (real-world) optimization problems in the problem base class. Reasons to do
        this may be the following features:
        
        * Support for single-objective and multi-objective problems
        * In general, no assumptions about the search space are made
        * Evaluations are automatically counted
        * Can use true parallelism or concurrency via multiprocessing(.dummy)
        * Provides functionality for checking bound constraints and repairing
          violations of them in continuous optimization
        * Optionally: detection and subsequently avoidance of duplicate evaluations
        
        
        Dependencies
        ============
        
        Some modules of this package have additional dependencies on third-party
        packages. However, these are not enforced during installation not to hinder
        the utilization of the base module, which will always be free of dependencies.
        
        ===============  =================
        Module           Dependencies
        ===============  =================
        base             none
        binary           none
        mpm              numpy
        multiobjective   diversipy
        wfg              diversipy
        zdt              diversipy
        ===============  =================
        
        
        Documentation
        =============
        
        The documentation is located at
        https://ls11-www.cs.tu-dortmund.de/people/swessing/optproblems/doc/
Keywords: objective function black-box optimization benchmark problem binary ZDT WFG
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
