In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.

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Yes, you can access Swarm Intelligence by Felix T.S. Chan,Manoj Kumar Tiwari, Felix T.S. Chan, Manoj Kumar Tiwari in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

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Artificial Intelligence (AI) & Semantics

Index

Computer Science

Swarm Intelligence, Focus on Ant and Particle Swarm Optimization
Preface
Contents
1. Chaotic Rough Particle Swarm Optimization Algorithms
2. Integration Method of Ant Colony Algorithm and Rough Set Theory for Simultaneous Real Value Attribute Discretization and Attribute Reduction
3. A New Ant Colony Optimization Approach for the Degree-Constrained Minimum Spanning Tree Problem Using Prüfer and Blob CodesTree Coding
4. Robust PSO-Based Constrained Optimization by Perturbing the Particle’s Memory
5. Using Crowding Distance to Improve Multi-Objective PSO with Local Search
6. Simulation Optimization Using Swarm Intelligence as Tool for Cooperation Strategy Design in 3D Predator-Prey Game
7. ifferential Meta-model and Particle Swarm Optimization
8. Artificial Bee Colony Algorithm and Its Application to Generalized Assignment Problem
9. Finite Element Mesh Decomposition UsingEvolving Ant Colony Optimization
10. Swarm Intelligence and Image Segmentation
11. Particle Swarm Optimization – StochasticTrajectory Analysis and Parameter Selection
12. Stochastic Metaheuristics as SamplingTechniques using Swarm Intelligence
13. Artificial Ants in the Real World: Solving On-lineProblems Using Ant Colony Optimization
14. Application of PSO to design UPFC-based stabilizers
15. CSV-PSO and Its Applicationin Geotechnical Engineering
16. Power Plant Maintenance Scheduling Using Ant Colony Optimization
17. Particle Swarm Optimization for Simultaneous Optimization of Design and MachiningTolerances
18. Hybrid optimisation method for the facilitylayout problem
19. Selection of Best Alternative Process Plan in Automated Manufacturing Environment: An Approach Based on Particle Swarm Optimization
20. Job-shop scheduling and visibility studies witha hybrid ACO algorithm
21. Particle Swarm Optimization in Structural Design
22. Reserve-Constrained Multiarea Environmental/Economic Dispatch UsingEnhanced Particle Swarm Optimization
23. Hybrid Ant Colony Optimization for the ChannelAssignment Problem in WirelessCommunication
24. Case Study Based Convergence BehaviourAnalysis of ACO Applied to Optimal Design ofWater Distribution Systems
25. A CMPSO algorithm based approach to solvethe multi-plant supply chain problem
26. Ant colonies for performance optimization ofmulti-components systems subject to randomfailures
27. Distributed Particle Swarm Optimization for Structural Bayesian Network Learning

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