Overview

This book includes 27 chapters and presents a great number of real-world applications of swarm intelligence algorithms and related evolutionary algorithms.

Full Product Details

Author:   Ying Tan (Professor, Peking University, Computational Intelligence Laboratory, China)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781785616310

ISBN 10:   1785616315
Pages:   880
Publication Date:   30 November 2018
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1: Prototype generation based on MOPSO Chapter 2: Image reconstruction algorithms for electrical impedance tomography based on swarm intelligence Chapter 3: A semisupervised fuzzy GrowCut algorithm for segmenting masses of regions of interest of mammography images Chapter 4: Multiobjective optimization of autonomous control for a biped robot Chapter 5: Swarm intelligence based MIMO detection techniques in wireless systems Chapter 6: Swarm intelligence in logistics and production planning Chapter 7: Swarm intelligence for object-based image analysis Chapter 8: Evolutionary multiobjective optimization for multilabel learning Chapter 9: Image segmentation by flocking-like particle dynamics Chapter 10: Swarm intelligence for controller tuning and control of fractional systems Chapter 11: PSO-based implementation of smart antennas for secure localisation Chapter 12: Evolutionary computation for NLP tasks Chapter 13: Particle swarm optimisation for antenna element design Chapter 14: Swarm intelligence for data mining classification tasks: an experimental study using medical decision problems Chapter 15: Towards spiking neural systems synthesis Chapter 16: Particle swarm optimization based memetic algorithms framework for scheduling of central planned and distributed flowshops Chapter 17: Particle swarm optimization for antenna array synthesis, diagnosis and healing Chapter 18: Designing a fuzzy logic controller with particle swarm optimisation algorithm Chapter 19: Adding swarm intelligence for slope stability analysis Chapter 20: Software module clustering using particle swarm optimization Chapter 21: A swarm intelligence approach to harness maximum techno-commercial benefits from smart power grids Chapter 22: Fuzzy adaptive tuning of a particle swarm optimization algorithm for variable-strength combinatorial test suite generation Chapter 23: Multiobjective swarm optimization for operation planning of electric power systems Chapter 24: Perturbed-attractor particle swarm optimization for image restoration Chapter 25: Application of swarm intelligence algorithms to multi-objective distributed local area network topology design problem Chapter 26: Swarm intelligence algorithms for antenna design and wireless communications Chapter 27: Finite-element model updating using swarm intelligence algorithms

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Author Information

Ying Tan is a full professor, PhD advisor, and director of the Computational Intelligence Laboratory at Peking University, China. He is also a professor at the Faculty of Design, Kyushu University, Japan. He serves as Editor-in-Chief of the International Journal of Computational Intelligence and Pattern Recognition (IJCIPR), and is Associate Editor of IEEE Transactions on Evolutionary Computation (TEC), IEEE Transactions on Cybernetics (CYB), IEEE Transactions on Neural Networks and Learning Systems (NNLS), International Journal of Swarm Intelligence Research (IJSIR), and International Journal of Artificial Intelligence (IJAI). He has been the founder general chair of the ICSI International Conference series since 2010, is the inventor of the Fireworks Algorithm (FWA), and has published extensively in this field.

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