Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering ProblemsSulabh Bansal, Aprna Tripathi, Shilpa Srivastava, Prem Prakash Vuppuluri CRC Press, 10 Jun 2025 - 402 halaman This comprehensive text provides practical guidance for implementing 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 United Nations sustainable development goals such as climate action, clean energy, and sustainable cities. This book:
Nature-inspired Metaheuristic Algorithms is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology. |
Isi
Bridging quantum computing | |
Harnessing metaheuristic algorithms for advanced optimization and design | |
A GAbased virtual machine migration technique to optimize data privacy | |
Hyperparameter tuning of convolutional neural networks using nature | |
Applications of natureinspired metaheuristic algorithms for medical image | |
Particle swarm optimization for protein structure prediction and refinement | |
Quantum computingbased metaheuristics for medical image segmentation | |
Hybrid metaheuristic approach for community detection | |
Exploring additive manufacturing parameters for improved tensile strength | |
Realcoded genetic algorithm for optimal ordering and pricing in segmented | |
An intelligent simulated annealing model for restraining driver speed | |
Balancing optimization and emissions in heuristics and metaheuristics for hard | |
Optimizing financial fraud detection models using genetic algorithms | |
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accuracy ANFIS Ant colony optimization applications approach behavior challenges Chen chromosomes complex convergence crossover datasets deep learning effective efficient encryption Engineering enhance equation error control evaluation evolutionary algorithm Evolutionary Computation exploration feature selection Figure fitness function fitness value genetic algorithm global GQPSO healthcare heuristic hybrid hyperparameters IEEE image classification image segmentation improve initial input inspired integrated International Conference International Journal iterations Knapsack Problem Kumar layer to model machine learning mechanism medical image analysis methods minimizing mutation nature-inspired algorithms nature-inspired metaheuristic algorithms neural networks objective function operators optimal solutions optimization algorithms optimization problems optimization techniques parameters particle swarm optimization performance population potential protein structure prediction PSO algorithm QIEA quantum computing quantum-inspired evolutionary algorithm qubit random RCGA search algorithm search space Simulated Annealing Soft Computing solution space solve speed strategy Update variables Wang Zhang
