Advances in Metaheuristics
About the Book Series
This series delves into the topic of AI-based Metaheuristics and Metaheuristic Optimization and explores the latest advances in this area. It will appeal to students, researchers, and professionals.
If you are interested in writing or editing a book for the series or would like more information, please contact Elliott Morsia, [email protected], or contact one of the Series Editors: Patrick Siarry, [email protected], and Anand Kulkarni, [email protected].
Metaheuristics in Engineering Applications
1st Edition
Edited
By Mathew V K, Archana Chandak, Man Mohan, Bhumeshwar Patle
November 18, 2025
Engineering applications are rapidly evolving, becoming increasingly complex and data-driven. Traditional optimization methods often struggle to keep pace, leaving engineers seeking robust and adaptable solutions. Metaheuristics, inspired by natural processes like evolution and ant colonies, help ...
Optimization Methods for Finite Element Analysis and Design
1st Edition
Edited
By Ishaan R. Kale, Sujin Bureerat, Ravipudi Venkata Rao
July 15, 2025
Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM). It gives a brief introduction of the applications of AI-based nature-inspired metaheuristic algorithms and machine learning (ML) at various stages of FEM. The book covers a ...
Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications
1st Edition
Edited
By Seyedali Mirjalili
March 12, 2025
Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale ...
Automatic Generation Of Algorithms
1st Edition
By Victor Parada
February 10, 2025
In the rapidly evolving domain of computational problem-solving, this book delves into the cutting-edge Automatic Generation of Algorithms (AGA) paradigm, a groundbreaking approach poised to redefine algorithm design for optimization problems. Spanning combinatorial optimization, machine learning, ...
AI-Based Metaheuristics for Information Security and Digital Media
1st Edition
Edited
By Apoorva S Shastri, Mangal Singh, Anand J. Kulkarni, Patrick Siarry
January 30, 2025
This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications. ...
Combinatorial Optimization Under Uncertainty: Real-Life Scenarios in Allocation Problems
1st Edition
Edited
By Ritu Arora, Shalini Arora, Anand Kulkarni, Patrick Siarry
December 19, 2024
This book discusses the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solutions for the same. Uncertainty influences the behaviour of the market to a great extent. Global ...
Graph Coloring: From Games to Deterministic and Quantum Approaches
1st Edition
By Maurice Clerc
December 16, 2024
This book explores the problem of minimal valid graph coloring, first in the form of games and then of resolution algorithms. Emphasis is placed on deterministic, guaranteed and non-guaranteed methods. Stochastic methods are then just mentioned because they are already widely described in previous ...
Hybrid Genetic Optimization for IC Chips Thermal Control: With MATLAB® Applications
1st Edition
By Mathew V. K., Tapano Kumar Hotta
October 08, 2024
The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of electronic components have led to the monumental rise of volumetric heat generation in electronic components. Hybrid Genetic Optimization for IC Chips Thermal Control: With MATLAB® ...
Constraint Handling in Cohort Intelligence Algorithm
1st Edition
By Ishaan R. Kale, Anand J. Kulkarni
October 07, 2024
Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to ...
Metaheuristic Algorithms in Industry 4.0
1st Edition
Edited
By Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry
October 07, 2024
Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations...
Handbook of AI-based Metaheuristics
1st Edition
Edited
By Anand J. Kulkarni, Patrick Siarry
October 04, 2024
At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to ...
Metaheuristics for Enterprise Data Intelligence
1st Edition
Edited
By Kaustubh Vaman Sakhare, Vibha Vyas, Apoorva S Shastri
August 07, 2024
With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important ...