Finding Minimal Addition Chains with a Particle Swarm Optimization Algorithm

  • Authors:
  • Alejandro León-Javier;Nareli Cruz-Cortés;Marco A. Moreno-Armendáriz;Sandra Orantes-Jiménez

  • Affiliations:
  • Center for Computing Research, National Polytechnic Institute (CIC-IPN), Mexico;Center for Computing Research, National Polytechnic Institute (CIC-IPN), Mexico;Center for Computing Research, National Polytechnic Institute (CIC-IPN), Mexico;Center for Computing Research, National Polytechnic Institute (CIC-IPN), Mexico

  • Venue:
  • MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
  • Year:
  • 2009

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Abstract

The addition chains with minimal length are the basic block to the optimal computation of finite field exponentiations. It has very important applications in the areas of error-correcting codes and cryptography. However, obtaining the shortest addition chains for a given exponent is a NP-hard problem. In this work we propose the adaptation of a Particle Swarm Optimization algorithm to deal with this problem. Our proposal is tested on several exponents whose addition chains are considered hard to find. We obtained very promising results.