Focus on Swarm Intelligence Research and Applications


Bachir Benhala (Editor)
Faculty of Sciences, University of Moulay Ismail, Meknes, Morroco

Series: Computer Science, Technology and Applications
BISAC: COM014000

Swarm intelligence techniques are among the most talented and successful approaches that gained a lot of popularity over the past two decades. They are inspired by animal behavior (such as ants, termites and bees) and insect conduct (by swarm, herd, flock and shoal phenomena) in order to develop these techniques in terms of mimicking their problem/solution abilities. These techniques provide good approximate solutions in a reasonable time for solving hard and complex problems in many engineering fields. This book is intended for researchers, engineers and graduate students with interests in swarm intelligence algorithms and their applications. It discusses and describes the various swarm intelligence techniques as useful tools for solving practical problems, such as urban traffic optimization, electrical engineering problems and the design of integrated analog circuits. (Imprint: Nova)



Table of Contents


Chapter 1. Accurate Identification of the Spectral Complex Refractive Index and Particle Size Distribution in Participating Media Using an Ant Colony Algorithm
Hong Qia, Ya-Tao Ren, Biao Zhangb and Li-Ming Ruan

Chapter 2. Parametric Optimization of Laser Beam Machining Processes Using a Shuffled Frog Leaping Algorithm
Ankan Mitra and Shankar Chakraborty

Chapter 3. Tuning of Mamdani-Type PID Controllers: A Constrained Nonlinear Optimisation Approach
Paulo Gil, Ana Sebastião and Luís Palma

Chapter 4. The Application of Particle Swarm Optimization for Solving Electrical Engineering Problems
Mahamad Nabab Alam

Chapter 5. The Application of Swarm Intelligence Techniques to Enhance the Performance of the Optimization Kernel of Analog IC Sizing Tools
Maryam Dehbashian

Chapter 6. A Comparative Study on Binary Artificial Bee Colony Optimization Methods for Feature Selection
Zeynep Banu Ozger, Bulent Bolat and Banu Diri

Chapter 7. Accelerating the Differential Evolution Algorithm in the Optimization of Amplifiers by Applying the gm/ID Method
Adriana Carolina Sanabria-Borbón, Esteban Tlelo-Cuautle and Luis Gerardo de la Fraga

Chapter 8. A Metaheuristic Approach for Urban Traffic Optimization Using an Ant Colony Model
Sabbani Imad, Youssfi Mohamed, Bouattane Omar, Grunder Oliver and Barakat Oussama

Chapter 9. A PSO-PCA Optimization Approach for Control Design
Luis Brito Palma, Rui Azevedo Antunes, Vasco Brito and Paulo Gil

Chapter 10. Ant Colony Optimization for Optimal Analog Filter Sizing
Loubna Kritele, Bachir Benhala, and Izeddine Zorkani

Chapter 11. Optimal Design of RF CMOS Circuits by Means of an Artificial Bee Colony Technique
Hamid Bouyghf, Bachir Benhala and Abdelhadi Raihani

Chapter 12. Sensitivity Analysis in the Optimization of Analog Active Filters by Applying the Richardson Extrapolation
Amin Sallem and Pedro Pereira

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