Mathematical Modeling for an Artificial Eco–System in Wild Life

Abstract

In this paper an attempt has to be made to describes in investigation. This paper describes an investigation in which a genetic algorithm is used to simulate an artificial environment in which various species compete with one another. Each species that exists on this planet is the product of millennia of natural selection. Competition for finite resources has produced varied species, many of which exhibit specialized behavior that allows them to survive. Genetic algorithms acting upon a randomly chosen population, and competing for finite resources should produce a near–maximal biomass, with several distinct species exploiting different levels of the bio system. Utilizing reproduction, crossover, mutation and inching operators, the coding scheme could preserve diversity in predator/prey populations and mass while maximizing biomass and sensory performance within the population, particularly in a static environment.