About: HeuristicLab Blog
Browse by time:
- August 2019 (1)
- January 2018 (1)
- July 2017 (2)
- June 2017 (2)
- May 2017 (1)
- November 2016 (1)
- July 2016 (2)
- November 2015 (1)
- August 2015 (1)
- July 2015 (1)
- February 2015 (1)
- December 2014 (1)
- October 2014 (1)
- August 2014 (1)
- July 2014 (2)
- June 2014 (1)
- October 2013 (2)
- August 2013 (1)
- July 2013 (1)
- May 2013 (1)
- March 2013 (1)
- September 2012 (2)
- July 2012 (1)
- June 2012 (2)
- April 2012 (1)
- March 2012 (1)
- February 2012 (1)
- January 2012 (1)
- October 2011 (2)
- September 2011 (4)
- August 2011 (3)
Browse by author:
Browse by category:
- rss .NET (1)
- rss Algorithms (3)
- rss Applications (2)
- rss ArtificialAnt (1)
- rss CMA-ES (1)
- rss Charting (2)
- rss Charts (1)
- rss Contests (1)
- rss Customization (1)
- rss DataAnalysis (4)
- rss Documentation (2)
- rss Experiment (2)
- rss ExperimentDesign (2)
- rss ExternalEvaluation (1)
- rss Features (16)
- rss GECCO (1)
- rss GeneticAlgorithm (1)
- rss GeneticProgramming (1)
- rss Hive (1)
- rss JSSP (1)
- rss Linux (1)
- rss Mono (1)
- rss Performance (1)
- rss ProjectManagement (2)
- rss Publication (1)
- rss Releases (11)
- rss Resizing (2)
- rss Scheduling (1)
- rss Server (1)
- rss Simulation (1)
- rss SymbolicRegression (1)
- rss SystemIdentification (2)
- rss Trac (1)
- rss TravelingSalesmanProblem (1)
- rss Tutorial (2)
- rss UI (3)
- rss VehicleRoutingProblem (1)
- rss Video (2)
- rss View (2)
- rss Views (2)
- rss Website (1)
- rss YouTube (2)
- rss algorithm (1)
- rss analysis (1)
- rss ecdf (1)
- rss performance (1)
- rss run-length (1)
Posts for the month of August 2013
New HeuristicLab Publication
The book chapter Architecture and Design of the HeuristicLab Optimization Environment is now available. As part of the series Advanced Methods and Applications in Computational Intelligence a whole chapter is dedicated to the architecture and design of HeuristicLab. It includes
- background and historical information
- a detailed description of the architecture and design of the software
- an overview of the object and view model
- an introduction to operators, parameters and the scope tree
- a section on algorithm and problem modeling including the following examples:
- Genetic Algorithm
- Simulated Annealing
- Quadratic Assignment Problem
- Simulation-Based Optimization
- Genetic Programming
For more information head over to the Research page or download it directly from here.
- Posted: 2013-08-12 15:04 (Updated: 2014-07-21 16:48)
- Author: ascheibe
- Categories: Documentation Publication
- Comments (0)