An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation

@article{Jimnez2013AnOA,
  title={An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation},
  author={Erik Valdemar Cuevas Jim{\'e}nez and Alonso Echavarr{\'i}a and Marte A. Ram{\'i}rez-Orteg{\'o}n},
  journal={Applied Intelligence},
  year={2013},
  volume={40},
  pages={256-272}
}
The ability of an Evolutionary Algorithm (EA) to find a global optimal solution depends on its capacity to find a good rate between exploitation of found-so-far elements and exploration of the search space. Inspired by natural phenomena, researchers have developed many successful evolutionary algorithms which, at original versions, define operators that mimic the way nature solves complex problems, with no actual consideration of the exploration-exploitation balance. In this paper, a novel… CONTINUE READING
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Particle swarm optimization

  • J Kennedy, R Eberhart
  • Proceedings of the 1995 IEEE international…
  • 1995
Highly Influential
5 Excerpts

Thermodynamics: an engineering approach, 5th edn

  • YA Cengel, MA Boles
  • 2005
Highly Influential
3 Excerpts

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