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About the Book 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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Table of Contents
Recent Development of Swarm Intelligence Techniques
01Chaotic Rough Particle Swarm Optimization Algorithms
04Robust PSO-Based Constrained Optimization by Perturbing the PSO Memory
05Using Crowding Distance to Improve Multi-Objective PSO with Local Search
07Differential Meta-model and Particle Swarm Optimization
08Artificial Bee Colony Algorithm and Its Application to Generalized Assignment Problem
09Finite Element Mesh Decomposition Using Evolving Ant Colony Optimization
10Swarm Intelligence and Image Segmentation
11Particle Swarm Optimization - Stochastic Trajectory Analysis and Parameter Selection
12Stochastic Metaheuristics as Sampling Techniques Using Swarm Intelligence
13Artificial Ants in the Real World: Solving On-line Problems Using Ant Colony Optimization
New Industrial Applications of Swarm Intelligence Techniques
14Application of PSO to Design UPFC-based Stabilizers
15CSV-PSO and Its Application in Geotechnical Engineering
16Power Plant Maintenance Scheduling Using Ant Colony Optimization
17Particle Swarm Optimization for Simultaneous Optimization of Design and Machining Tolerances
18Hybrid Method for the Layout Problem
20Job-shop Scheduling and Visibility Studies with a Hybrid ACO Algorithm
21Particle Swarm Optimization in Structural Design
23Hybrid Ant Colony Optimization for the Channel Assignment Problem in Wireless Communication
25A CMPSO Algorithm Based Approach to Solve the Multi-plant Supply Chain Problem
26Ant Colonies for Performance Optimization of Multi-components Systems Subject to Random Failures
27Distributed Particle Swarm Optimization for Structural Bayesian Network Learning