Handbook of swarm intelligence concepts principles and applications free download

In this swarm intelligence examples, They followed the intelligence of the ants which search for food by leaving distinct chemical trails —called pheromones. As more ants follow the trail they leave more chemical trails along the route.

South West Airlines decided to follow the formula and send cargo to flights to one or two other destinations before landing in the target destination. The airline was able to substantially reduce storage space and accompanying wage costs. Their cargo space was also fully booked and leading to a new business avenue for the company. In Switzerland, Pina Petroli, heating oil company that supplies directly to homes had small, large and medium-sized trucks deployed along various routes.

Traffic constraints, bad weather, narrow routes, emergency calls, different sizes of trucks and hoses, the sheer size of the operations necessitated the company to look for an innovative solution. It also reduced travel time. Air Liquide, a supplier of industrial, medical gases such as nitrogen, hydrogen, and oxygen used multiple ways to deliver the products to industrial sites, hospitals using railcars, trucks, pipelines.

With power prices fluctuating and having t deliver gases at sites became a complex operation for the company. It took inspiration from the ant intelligence and with the help of an artificial intelligence company evolved a model that optimized the operations of the company based on weather, plant schedules, and truck routes.

However, it is not an entirely automated system- every night the company inputs data on consumer demand and manufacturing costs so that the entire system will get organized in four hours with the swarm intelligence algorithm working out the permutations and combinations. Thus a truck driver may be directed not necessarily to pick gas from the nearest plant but depending on the lowest price available it could be farther away.

In warehousing business, the bucket brigade approach of ants has been successfully used by retail chains, distribution centers at leading companies such as Bantam-Doubleday-Dell Distribution, McGraw-Hill, Blockbuster Music among others.

Ants distribute food from the food source to the next through a relay principle, each passing on food to next person in the chain. This model can be successfully deployed in cases where goods have to be passed from one person to another — the duo of John Bartholdi, Georgia Tech —Donald Eisenstein, Chicago University mimicked this system for a retail chain which was using a zone approach whereby each worked completed a particular task before another person can begin.

In this process, the fastest people may be underutilized and slower people made to do more work. Bartholdi and Eisenstein devised a strategy where a worker continued to work fill orders till the person downstream took over his work. In this system, the slowest was put at the beginning and fastest at the end. Swarm intelligence algorithm can also help courier and parcel companies to route the cargo or documents more efficiently by optimizing resources. Telecommunication business is quite complex as some routes will be busy at some point of time while others will be idle.

Each call has to go through a series of intermediate nodes and hubs before it can reach the destination. How to optimize the use of the networks so that congestion and delays are avoided?

This helped telecom center agents to divert traffic through those routes. This helps agents ignore the routes and look elsewhere. This is one of the best swarm intelligence examples in which manufacturing operations have benefitted from the observation of how bees allocate work among themselves. There are worker bees, queen bees and nursing bees in a beehive.

When workload increases, even the nursing bees help the worker bees to complete a task. This was effectively used in paint booths in a truck manufacturing facility.

Each paint shop specialized in a particular paint unless it was urgently called to clear any backlog in other booths. Lists with This Book. This book is not yet featured on Listopia. Add this book to your favorite list ». Community Reviews. Showing Average rating 3. Rating details. More filters. Sort order. Sep 09, Antonio rated it really liked it. I would recommend this book for anyone. This book explains perfectly all the main algorithms for Swarm Intelligence and some give some examples of their applications.

Also, it explain in a really easy and complete way, so you don't really need a deep knowledge for reading this book. Simply perfect for those who want to know more or initialize in this matter! Kaiser rated it liked it Feb 21, Zow Ormazabal rated it liked it Feb 24, John rated it it was amazing Nov 26, Taylor Sando rated it really liked it May 22, Swaraj marked it as to-read Jun 15, Overall Rating 0 rating.

Product Description. From nature, we observe swarming behavior in the form of ant colonies, bird flocking, animal herding, honey bees, swarming of bacteria, and many more. It is only in recent years that researchers have taken notice of such natural swarming systems as culmination of some form of innate collective intelligence, albeit swarm intelligence SI - a metaphor that inspires a myriad of computational problem-solving techniques.