%0 Journal Article
%T Meta-Heuristics Algorithms based on the Grouping of Animals by Social Behavior for the Traveling Salesman Problem
%A Jorge A. Ruiz-Vanoye
%A Ocotl芍n D赤az-Parra
%A Felipe Coc車n
%A Andr谷s Soto
%J International Journal of Combinatorial Optimization Problems and Informatics
%D 2012
%I International Journal of Combinatorial Optimization Problems and Informatics
%X In this paper, we show a survey of meta-heuristics algorithms based on grouping of animals by social behavior for the Traveling Salesman Problem, and propose a new classification of meta-heuristics algorithms (not based on swarm intelligence theory) based on grouping of animals: swarm algorithms, schools algorithms, flocks algorithms and herds algorithms: a) The swarm algorithms (inspired by the insect swarms and zooplankton swarms): Ant Colony Optimization algorithm 每 ACO (inspired by the research on the behavior of ant colonies), Firefly Algorithm (based on fireflies), Marriage in Honey Bees Optimization Algorithm - MBO algorithm (inspired by the Honey Bee), Wasp Swarm Algorithm (inspired on the Parasitic wasps), Termite Algorithm (inspired by the termites), Mosquito swarms Algorithm 每 MSA (inspired by mosquito swarms), zooplankton swarms Algorithm - ZSA (inspired by the Zooplankton) and Bumblebees Swarms Algorithm 每 BSA (inspired by Bumblebees). b) The school algorithms (inspired by the fish schools): The Particle Swarm Optimization algorithm 每 PSO (inspired by social behavior and movement dynamics of fish or schooling). c) The flock algorithms (inspired by the bird flocks): the flocking algorithm, and the Particle Swarm Optimization algorithm (inspired on the dynamics of the birds), d) The herd and pack Algorithms (inspired by the mammal herds and packs): bat algorithm (inspired by bat), wolf pack search algorithm - WPS (inspired by wolfs), Rats herds algorithm - RATHA (inspired by Rats), Dolphins Herds Algorithm - DHA (inspired by Dolphins) and the feral-dogs herd algorithm - FDHA (inspired by feral-dogs herd).
%K Traveling Salesman Problem
%K swarms Algorithms
%K schools algorithms
%K flocks algorithms
%K herds algorithms
%K pack algorithms
%K insect swarms
%K zooplankton swarms
%K fish school
%K bird flocks
%K mammal herds
%K mammal packs.
%U http://ijcopi.org/ojs/index.php?journal=ijcopi&page=article&op=view&path%5B%5D=111&path%5B%5D=164