Open access peer-reviewed Edited Volume

Ant Colony Optimization

Ali Soofastaei

Artificial Intelligence Center

An artificial intelligence scientist and a global project leader in the mining industry, an assistant professor and holder of a Ph.D. in the field of AI applications in mining engineering from the University of Queensland. Leader of global research activities, a global speaker, journal papers author, and book writer.

Covering

Image Processing Ant Colony Edge Detection Vehicles Routing Multi-Depot Routing Connectionless Network Routing Data Mining Big Data Distributed Information Retrieval Artificial Intelligence Electricity Network Design Optimization

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About the book

The book aims to provide practical help for researchers, and industrial specialists who are interested in using the new science and technology to improve their knowledge and experience in the field of optimization.

Optimization problems are very important in the field of both scientific and industrial. Some real-life examples of these optimization problems are timetable scheduling, nursing time distribution scheduling, train scheduling, capacity planning, vehicle routing problems, group-shop scheduling problem, portfolio optimization, etc. Many optimizations algorithms are developed for this reason. Ant Colony Optimization (ACO) is one of them. ACO is a probabilistic technique for finding optimal paths. In computer science and researches, the ACO algorithm is used for solving different computational problems.

There are many optimization problems where the ACO can be applied for finding the optimal solution. Some of them are Image processing, Capacitated vehicles routing, Stochastic vehicles routing, Vehicle routing with pick-up and delivery, Connectionless network routing, Data mining, Group-shop scheduling, Distributed information retrieval, Nursing time distribution, Permutation flow shop problem, Frequency assignment problem, Redundancy allocation problem, and Electricity network design.

The Objective of the book is to provide a concise overview of the state of the art of ACO for industrial researchers. They will value a book that helps them position the emerging capabilities of ACO in their businesses and provide an assessment of where and how these new capabilities can help to optimize the end to end operations of their enterprises.

Publishing process

Book initiated and editor appointed

Date completed: October 6th 2020

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: November 3rd 2020

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: January 2nd 2021

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: March 23rd 2021

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: May 22nd 2021

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Ali Soofastaei

Artificial Intelligence Center

Dr. Ali Soofastaei is a Global Projects Leader at Vale Artificial Intelligence Centre. Vale is a multinational corporation engaged in metals and mining. It is one of the world’s foremost producers of iron ore and the largest producer of nickel. Dr. Soofastaei leads innovative industrial projects in the field of artificial intelligence (AI) applications to improve safety, productivity, and energy efficiency, and to reduce maintenance costs. Dr. Soofastaei completed his Ph.D. at The University of Queensland (UQ) in the field of AI applications in mining engineering where he led a revolution in the use of deep learning (DL) and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines. As a Postdoctoral Research Fellow, he has provided practical guidance to undergraduate and postgraduate students in mechanical and mining engineering and information technology. Dr. Soofastaei has been involved in industrial research and development projects in several industries including oil and gas (Royal Dutch Shell); steel (Danieli); and mining (BHP, Rio Tinto, Anglo American, and Vale). His extensive practical experience in the industry has equipped him to work with complex industrial problems in highly technical and multi-disciplinary teams. Dr. Soofastaei has more than ten years of academic experience as an Assistant Professor and leader of global research activities. Results from his research and development projects have been published in international journals and keynote presentations; He has presented his practical achievements at conferences in the United States, Europe, Asia, and Australia. For more information, please see www.soofastaei.net

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Book chapters authored 2

Books edited 1

Introducing your Author Service Manager

Ms. Dolores Kuzelj

As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact.

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