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Optimization Methods for Finite Element Analysis and Design
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 range of state-of-the-art application areas including medical equipment, structural analysis and machinery products. It explores the applications of optimization and ML techniques in mesh smoothing, quality improvement and Laplacian and Taubin smoothing. The book also discusses the optimization of cable nets and steel frames using nature-inspired metaheuristic methods.
Automatic Generation Of Algorithms
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, genetic programming, and beyond, it investigates AGA's transformative capabilities across diverse application areas. The book initiates by introducing fundamental combinatorial optimization concepts and NPhardness significance, laying the foundation for understanding AGA's necessity and potential. It then scrutinizes the pivotal Master Problem concept in AGA and the art of modeling for algorithm ge...
Socio-cultural Inspired Metaheuristics
This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions. This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.
Handbook of AI-based Metaheuristics
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 resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.
Metaheuristics in Engineering Applications
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 meet this challenge. These powerful algorithms offer flexible optimization tools, capable of tackling intricate problems across diverse engineering domains. Metaheuristics are not just optimization tools; they are catalysts for innovation across diverse engineering disciplines. By understanding their context and potential in each area, we unlock a future where complex problems are tackled efficiently, sustainably, and ethically, paving the way for a brighter and more innovative tomorrow. This book will introduce a range of metaheuristics algorithms and examine their various applications in engineering, including Industrial IoT and Cyber‐Physical Systems, Intelligent Manufacturing, Smart Cities, and Sustainable Technologies. It will be of great interest to professionals and researchers across this domain.
Advances in Intelligent Systems for Sustainable Agriculture
This book presents the select proceedings of the 3rd International Conference on Intelligent Systems and Applications 2024. The theme of this conference is ‘Intelligent Systems for Agricultural Applications'. It covers the topics of intelligent systems in multiple aspects such as sustainable crop production, weather prediction, post-harvest management and agro-processing, digitalization and automation of agri equipment, agriculture warehouse and supply chain management, yield prediction, and quality assessment. The book is useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.
Graph Coloring
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 publications. The study then details a general quantum algorithm of polynomial complexity. A final chapter provides elements of reflection on diplomatic algorithms that, for the problem of coloring under resource constraints, seek a compromise minimizing frustrations. The appendix includes some mathematical additions and the source codes of the main algorithms presented, in particular the one of the quantum method.
India Who's who
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Social History of Science in Colonial India
Can science be seen as the flag bearer of the 'civilizing mission' dispelling the darkness of centuries of superstition? Did the installation of new technological systems displace ancient primitive techniques? Rejecting the simplistic notion of transmission of science and technology, this reader argues for a variety of perspectives. Part of the prestigious Themes in Indian History series, it provides an excellent introduction to the world of science and technology in colonial India. Departing from the standard practice of seeing science as a cultural universal, Social History of Science emphasizes the need for redrawing boundaries long taken for granted. It investigates how modern science - ...
