Applied multi-objective optimization / Nilanjan Dey, editor.
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 challengi...
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Full Text (via Springer) |
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| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
2024.
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| Series: | Springer tracts in nature-inspired computing.
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| Subjects: |
Table of 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.