- Includes industrial case studies - Includes chapters on cyber physical systems, machine learning, deep learning, cyber security, robotics, smart manufacturing and predictive analytics - surveys current trends and challenges in metaheuristics and industry 4.  Meer

Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.  Meer

- Provides interdisciplinary solutions including the fields of steganography, cryptography, artificial intelligence, machine learning, deep learning,...  Meer

the handbook is a valuable reference to researchers from industry and academia, as well as Masters and PhD students around the globe working in the...  Meer

This book 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, as well as newly devised metaheuristic algorithms.  Meer

This book examines the latest developments in 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.  Meer

Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM). The book covers a range of state-of-the-art application areas including medical equipment, structural analysis, and machinery products.  Meer

This book is structured to guide readers through AGA's concepts, practical applications, and future directions.At its core, this book is an invitation to reimagine the boundaries of algorithmic design.  Meer

Depicts real-life scenarios in allocation problems; Use of software such as LINGO, MATLAB to develop new algorithmic techniques; Relevant due to uncertain behaviour of the market as a consequence of COVID-19 pandemic.  Meer

The detailed survey on constraint handling techniques specifically penalty function approach is presented in the book; presents the Cohort Intelligence (CI) algorithm incorporated with a novel self-adaptive penalty function (SAPF) approach which helped in avoiding preliminary trials of selecting penalty parameter.  Meer

Provides guidance on performance enhancement and reliability of IC chips. Provides a detailed hybrid optimization strategy for the optimal arrangement of IC chips on a board.  Meer

Hybrid Genetic Optimization for IC Chip Thermal Control: with MATLAB® applications focuses on the detailed optimization strategy carried out to enhance the performance (temperature control) of the IC chips oriented at different positions on an SMPS board (Switch mode power supply) and cooled using air under various heat transfer modes.  Meer

This is a valuable reference to practitioners, students and researchers in the area of optimization methods. CI is investigated by solving discrete variable truss structural problems, mixed variable design engineering problems, linear and nonlinear constrained test problems and real-world applications from the manufacturing domain.  Meer

Reviews the literature of the Moth-Flame Optimization algorithm; Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm; Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems; Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm; Introduces several applications areas of the Moth-Flame Optimization algorithm focusing in sustainability.  Meer

Moth-Flame Optimization algorithm is an emerging meta-heuristic published in 2015. This book provides in-depth analysis of this algorithm and the existing methods to cope with challenges.  Meer

This book provides a systematic discussion of AI-based Metaheuristics application in a wide range of areas including Big Data Intelligence, Predictive Analytics, Enterprise Analytics, Graph Optimization Algorithms, Machine Learning and Ensemble Learning, Computer Vision Enterprise Practices, Data Benchmarking and more.  Meer

The book intends to discuss the basic ideas, underlying principles, mathematical formulations, analysis and applications of the different combinatorial problems under uncertainty and attempts to provide solution/s for the same.  Meer

Metaheuristics in Engineering Applications 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.  Meer