Predicting Future Trends On Pet Abandonment

Abstract

In biggest metropolis different kind of pets are living together with their masters, but with a limited time to receive food, attention or even a home where it is possible to find shelter for the rest of its lives. Juarez City has a population over 1.2 million of habitants, many families has different pets including dogs, cats, hamsters, birds, fishes or reptiles that some finished being abandoned in a quickly time, forget in the streets or die due starvation, negligence and selfish of their masters. To understand this social behavior we propose a Multivariable optimization associated with the numerical prediction of its abandoned to establish ecological public polices and determine the social consequences to determine the ecological cost benefit related with the replacement of new issues and increase of pets without master in the streets whereby exists many restrictions, although this problem has been studied on several occasions by the literature failed to realize an adequate numerical prediction evaluating various values associated with each kind of pet and compare its individual costs in each species. There are several factors that can influence to abandon or kill a pet, for our research we propose using a novel bio-inspired algorithm named Bacterial Foraging Optimization (BFO) Algorithm which has been proven to be efficient for predicting social behaviors associated with several aspects, in our case is represented as the increase of young population or adequate ecological public polices with the uncertainty of not knowing when will be too late to change our indifference to our pets.