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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions by Diego Oliva & Arturo Valdivia & Seyed Jalaleddin Mousavirad & Kanak Kalita & Janusz Kacprzyk & Marco Dorigo & Andries Engelbrecht & Vladik Kreinovich & Francesco Carlo Morabito & Roman Slowinski & Yingxu Wang & Yaochu Jin is a nonfiction available to read on EtoBox.
What is Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions about?
Preface Contents Metaheuristics, Theory and Applications Multilevel Thresholding Color Image Segmentation Solved with Metaheuristics 1 Introduction 2 Multilevel Color Image Segmentation 3 Pelican Optimization Algorithm 4 Multilevel Color Image Segmentation Metaheuristic Implementation 5 Experimental Conditions 5.1 Experiments Setup and Benchmark Images for Testing 5.2 Metrics for Segmentation 6 Results and Discussion 7 Medical Images Application 8 Conclusion References Optimization and Improve Image Contrast: A Comparative Study of Classical Metaheuristic Algorithms 1 Introduction 2 Metaheuristic Algorithms 2.1 Differential Evolution (DE) 2.2 Harmony Search (HS) 2.3 Particle Swarm Optimization (PSO) 2.4 Teaching Learning Based Optimization (TLBO) 2.5 Artificial Bee Colony (ABC) 2.6 Firefly Algorithm (FA) 2.7 Invasive Weed Optimization (IWO) 3 Transformation Functions and Objective Function as a Fundamental Basis to Improve Contrast in Images 4 Experimental Results 4.1 Experimental Configuration 4.2 Results Performance 4.3 Convergence Analysis 5 Conclusions and Future Work References Grouping and Partitioning Methods in Metaheuristic Algorithms 1 Introduction 2 Metaheuristic Algorit
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- Author
- Diego Oliva & Arturo Valdivia & Seyed Jalaleddin Mousavirad & Kanak Kalita & Janusz Kacprzyk & Marco Dorigo & Andries Engelbrecht & Vladik Kreinovich & Francesco Carlo Morabito & Roman Slowinski & Yingxu Wang & Yaochu Jin
- Publisher
- Springer Nature Switzerland AG
- Published
- 2025
- Language
- EN
- ISBN
- 9783031784392
- Category
- nonfiction
- Subjects
- Science, Stem