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multiobjective-optimization

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esa / pygmo2

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Make types uniform in the Python exposition

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

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bug good first issue

halolimat / clocacits

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🔧 🐝 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.

particle-swarm-optimization cloudsim multiobjective-optimization wireless-sensor-localization
  • Updated Feb 24, 2019
  • Java

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