Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems [Hardcover]

1. Introduction to Optimization: Techniques and Application in Engineering. 2.?Quantum-Inspired Evolutionary Algorithms: Bridging Quantum Computing Concepts with Evolutionary Optimization. 3.?Harnessing Metaheuristic Algorithms for Advanced Optimization and Design Solutions in Complex Real-World Applications. 4.?A GA-Based Virtual Machine Migration Technique to Optimize Data Privacy and Integrity. 5.?Hyperparameter Tuning of Convolutional Neural Networks using Nature-Inspired Metaheuristic Algorithms for Image Classification. 6.?Applications of Nature-Inspired Metaheuristics Algorithms for Medical Image Analysis. 7.?Particle Swarm Optimization for Protein Structure Prediction and Refinement. 8.?Quantum Computing Based Metaheuristics for Medical Image Segmentation. 9.?Hybrid Meta-heuristic Approach for Community Detection. 10.?Exploring Additive Manufacturing Parameters for Improved Tensile Strength and Functional Electrode Fabrication: A Soft Computing Approach. 11.?Application of Real Coded Genetic Algorithm for Optimal Ordering, Pricing and Discounting Policies in the presence of Partial Advance Payment and Trade Credit in a Segmented Market with Freshness and Price Dependent Demand. 12. An Intelligent Simulated Annealing Model for Restraining Driver Speed on Highways with Law Enforcement in Real-Time. 13.?Balancing Optimization and Emissions in Heuristics and Metaheuristics for Hard Combinatorial Problems.?14.? Particle Swarm ptimization-Based Support Vector Regression for Predictions: Approach and Applications. 15.?Optimizing Financial Fraud Detection Models Using Genetic Algorithms.

The text provides practical guidance to implement nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It further demonstrates how nature-inspired metaheuristic algorithms have the potential to contribute to multiple UN?SDG such as climate action, clean energy, and sustainable cities.