Edited by professionals with years of experience, this book provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications. Covering both the theory and applications of evolutionary computation, the book offers exhaustive coverage of several topics on nontraditional evolutionary techniques, details working principles of new and popular evolutionary algorithms, and discusses case studies on both scientific and real-world applications of optimization Content: Cover Half Title Title Page Copyright Page Contents List of Contributors List of Abbreviations Preface About the Editors PART 1. THEORY AND APPLICATIONS IN ENGINEERING SYSTEMS 1. Introduction 2. Bio-Mimetic Adaptations of Genetic Algorithm and Their Applications to Chemical Engineering 3. Surrogate-Assisted Evolutionary Computing Methods 4. Evolutionary Algorithms in Ironmaking Applications 5. Harmony Search Optimization for Multilevel Thresholding in Digital Images 6. Swarm Intelligence in Software Engineering Design Problems 7. Gene Expression Programming in Nanotechnology ApplicationsPART 2. THEORY AND APPLICATIONS OF SINGLE OBJECTIVE OPTIMIZATION STUDIES 8. An Alternate Hybrid Evolutionary Method for Solving MINLP Problems 9. Differential Evolution for Optimal Design of Shell-and-Tube Heat Exchangers 10. Evolutionary Computation Based QoS-Aware Multicast Routing 11. Performance Assessment of the Canonical Genetic Algorithm: A Study on Parallel Processing Via GPU Architecture 12. An Efficient Approach for Populating Deep Web Repositories Using SFLA 13. Closed Loop Simulation of Quadruple Tank Process Using Adaptive Multi-Loop Fractional Order PID Controller Optimized Using Bat AlgorithmPART 3. THEORY AND APPLICATIONS OF SINGLE AND MULTIOBJECTIVE OPTIMIZATION STUDIES 14. A Practical Approach Towards Multiobjective Shape Optimization 15. Nature-Inspired Computing Techniques for Integer Factorization 16. Genetic Algorithm Based Real-Time Parameter Identifier for an Adaptive Power System Stabilizer 17. Applied Evolutionary Computation in Fire Safety Upgrading 18. Elitist Multiobjective Evolutionary Algorithms for Voltage and Reactive Power Optimization in Power Systems19. Evaluation of Simulated Annealing, Differential Evolution and Particle Swarm Optimization for Solving Pooling Problems 20. Performance Improvement of NSGA-II Algorithm by Modifying Crossover Probability Distribution 21. Evolutionary Algorithms for Malware Detection and Classification Index "This volume presents and discusses recent advancements in evolutionary computation of both theory and applications. Both scientific and engineering applications of evolutionary computation techniques are explored here. This book is broadly organized into three sections: theory and applications in engineering systems; theory and applications of single objective optimization; theory and applications of single and multi-objective optimization studies. Edited by professionals with years of experience, Evolutionary Computation: Techniques and Applications provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications. Covering both the theory and applications of evolutionary computation, the book offers exhaustive coverage of several topics on nontraditional evolutionary techniques; covers detailed working principles of new and popular evolutionary algorithms; discusses case studies on both scientific and real-world applications of optimization. The book will be valuable faculty and researchers as well as advanced students in the areas of optimization, evolutionary computation, modeling and simulation, process plant simulation, and more."-- Provided by publisher
