Intelligent Evolutionary Optimization
- 1st Edition - April 18, 2024
- Authors: Hua Xu, Yuan Yuan
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 7 4 0 0 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 7 4 0 1 - 5
Intelligent Evolutionary Optimization introduces biologically-inspired intelligent optimization algorithms to address complex optimization problems and provide practical soluti… Read more
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Request a sales quote- Introduces biologically-inspired intelligent optimization algorithms capable of effectively solving complex optimization problems, teaching readers how to apply these algorithms and improve existing optimization techniques
- Explores multi-objective optimization problems in high-dimensional spaces for readers to understand how to perform efficient search and optimization, acquiring strategies and tools adapted to high-dimensional environments
- Presents the practical applications of intelligent evolutionary optimization in various fields to help readers gain insights into the latest trends and application scenarios in the field and receive practical guidance and solutions
1. Preliminary
2. A New Dominance Relation Based Evolutionary Algorithm for Many-Objective Optimization
3. Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers
4. Objective Reduction in Many-Objective Optimization: Evolutionary Multi-objective Approach and Critical
5. Expensive Multi-objective Evolutionary Optimization Assisted by Dominance Prediction
Part II: Heuristic Algorithm for Flexible Job Shop Scheduling Problem
6. Preliminary
7. A Hybrid Harmony Search Algorithm for the Flexible Job Shop Scheduling Problem
8. Flexible Job Shop Scheduling Using Hybrid Differential Evolution Algorithms
9. An Integrated Search Heuristic for Large-scale Flexible Job Shop Scheduling Problems
10. Multi-objective Flexible Job Shop Scheduling Using Memetic Algorithms
- No. of pages: 386
- Language: English
- Edition: 1
- Published: April 18, 2024
- Imprint: Elsevier
- Paperback ISBN: 9780443274008
- eBook ISBN: 9780443274015
HX
Hua Xu
Hua Xu is a leading expert on Intelligent Natural Interaction and service robots. He is currently a Tenured Associate Professor at Tsinghua University, Editor-in-Chief of the journal, Intelligent Systems with Applications and Associate Editor of Expert Systems with Application. Prof. Xu has authored the books Data Mining: Methodology and Applications (2014), Data Mining: Methods and Applications-Application Cases (2017), Evolutionary Machine Learning (2021), Data Mining: Methodology and Applications (2nd edition) (2022), Natural Interaction for Tri-Co Robots, Volume 1: Human-machine Dialogue Intention Understanding (2022) and Natural Interaction for Tri-Co Robots, Volume 2: Sentiment Analysis of Multimodal Interaction Information (2023), and published more than 140 papers in top-tier international journals and conferences. He is a Core Expert of the No.03 National Science and Technology Major Project of the Ministry of Industry and Information Technology of China, Senior Member of the (CCF), member of CAAI and ACM, Vice Chairman of Tsinghua Collaborative Innovation Alliance of Robotics and Industry, and recipient of numerous awards, including the Second Prize of National Award for Progress in Science and Technology, First Prize for Technological Invention of CFLP and First Prize for Science and Technology Progress of CFLP, etc.
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