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multiobjective-optimization

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jenetics
jenetics
jenetics commented Nov 19, 2019

The generation of the diagrams for the user manual requires a lot of manual work: trigger the generation and copying the graphs into the right directory. This generation process needs to be unified and automated. Ideally one script call, e.g. generate_graphs.sh, should trigger the generation process and copy the results into the correct directory.

The place where the diagram generation code i

Sceki
Sceki commented Jun 9, 2019

Some problems/algorithms seem to have an inconsistent python exposition in terms of types.

For instance, in ../src/problems/dtlz.cpp we have:

dtlz::dtlz(unsigned prob_id, vector_double::size_type dim, vector_double::size_type fdim, unsigned alpha)

But in the ../pygmo/expose_problems_0.cpp it is exposed as:

dtlz_p.def(bp::init<unsigned, unsigned, unsigned, unsigned>

I

🔧 🐝 A set of classes implementing single- and multi-objective Particle Swarm Optimization techniques for Cloudlet scheduling and WSN Localization optimizations. This code is part of the thesis titled "Optimizing Cloudlet Scheduling and Wireless Sensor Localization using Computational Intelligence Techniques", by Hussein S. Al-Olimat at UT.

  • Updated Feb 24, 2019
  • Java
fcampelo
fcampelo commented Jan 27, 2017
  • Write Vignette explaining how to define a MOEADr-compliant problem
  • Write vignette explaining the variation stack
  • Finish documentation of function moead()
  • Thorough review of documentation
  • Update vignette "Writing functions for MOEADr" to reflect recent changes (local search, constraint handling, changes in variable passing etc.)

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