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Applied Multi-objective Optimization / edited by Nilanjan Dey.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Series:
- Springer Tracts in Nature-Inspired Computing, 2524-5538
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Mathematical optimization.
- Algorithms.
- Computational Intelligence.
- Optimization.
- Local Subjects:
- Computational Intelligence.
- Optimization.
- Algorithms.
- Physical Description:
- 1 online resource (179 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Summary:
- The book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in practical contexts in the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including engineering, economics, medical and environmental management. The topic is useful for graduates, researchers and lecturers in optimization, engineering, management science and computer science. .
- Contents:
- Chapter 1 : An Introduction to Multi-objective Optimization using Meta-heuristic Algorithms: Techniques and Applications
- Chapter 2 : Counterfactual Explanations and Federated Learning for Multi-objective Optimization
- Chapter 3: Multi-objective Adaptive Guided Differential Evolution for Passively Controlled Structures Equipped with Tunned Mass Damper
- Chapter 4: Evolutionary Approaches for Multi-objective Optimization and Pareto-Optimal Solution Selection in Data Analytics
- Chapter 5 : Multi-objective Lichtenberg Algorithm for Optimum Design of Truss Structures
- Chapter 6 : Performance Analysis of Multi-objective Function-Based Fractional PID Controller for System Frequency Regulation
- Chapter 7: Multi-Modal Routing in Urban Transportation Networks using Multi-objective Quantum Particle Swarm
- Chapter 8 : Plant Leaf Disease Localization and Severity Measurement using Multi-objective Ant Colony Optimization
- Chapter 9 : Multi-objective Feature Selection: A Comprehensive Review
- Chapter 10 :Enhancing Feature Selection using Multi-objective Optimization Concept.
- Notes:
- Includes bibliographical references.
- ISBN:
- 981-9703-53-0
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