Secured Data Storage In Cloud

ABSTRACT Cloud Computing has attracted people from all arenas whether it be academics or industry for last decade. The basic objective is to provide user

Ant Colony Optimization (ACO) in Disaster Information Network

Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals. In particular, ants have inspired a number of methods and techniques among which the most studied and the most successful is the general purpose optimization technique known as ant colony optimization. The goal of this article is to introduce ant colony optimization and to survey its most notable applications. A better understanding of the theoretical properties of ACO algorithm is certainly another research direction that will be pursued in the futur

Ant Colony Optimization (ACO) in Disaster Information Network

Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals. In particular, ants have inspired a number of methods and techniques among which the most studied and the most successful is the general purpose optimization technique known as ant colony optimization. The goal of this article is to introduce ant colony optimization and to survey its most notable applications. A better understanding of the theoretical properties of ACO algorithm is certainly another research direction that will be pursued in the futur

A SWARM INTELLIGENCE OPTIMIZATION APPROACH FOR SMART HIVE FINDING IN HONEY BEES

Swarm Intelligence is a problem-solving behavior that occurs as a result of a multiplicity of interactions between independent components that make up the entire system Swarm intelligence comes from the biological study of social insect and insight about how they manage to solve complex problems in their daily lives. Research field as swarm systems are examples of behavior based systems. The proposed approach can be useful in traveling salesman problem also in optimized way of path finding. The Smart approach of swarm honey bees for the Hive finding is the novel approach. Our intention is to use this kind of methodology in our conventional problems to solve efficiently. BCO model has adopted mainly two natural behaviors from the social bees’ life: The mating process behavior and the foraging process behavior