Focus on Swarm Intelligence Research & Applications

Bachir Benhala, Pedro Pereira, Amin Sallem (Herausgeber)

Buch | Softcover

229 Seiten

2017
Nova Science Publishers Inc (Verlag)
978-1-5361-2452-1 (ISBN)

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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 behaviour (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 optimisation, electrical engineering problems and the design of integrated analogue circuits.

Preface; Accurate Identification of the Spectral Complex Refractive Index & Particle Size Distribution in Participating Media Using an Ant Colony Algorithm; Parametric Optimization of Laser Beam Machining Processes Using a Shuffled Frog Leaping Algorithm; Tuning of Mamdani-Type PID Controllers: A Constrained Nonlinear Optimisation Approach; The Application of Particle Swarm Optimization for Solving Electrical Engineering Problems; The Application of Swarm Intelligence Techniques to Enhance the Performance of the Optimization Kernel of Analog IC Sizing Tools; A Comparative Study on Binary Artificial Bee Colony Optimization Methods for Feature Selection; Accelerating the Differential Evolution Algorithm for the Optimization of Amplifiers by Applying the gm/ID Method; A Metaheuristic Approach for Urban Traffic Optimization Using an Ant Colony Model; A PSO-PCA Optimization Approach for Control Design; Ant Colony Optimization for Optimal Analog Filter Sizing; Optimal Design of RF CMOS Circuits by Means of an Artificial Bee Colony Technique; Sensitivity Analysis in the Optimization of Analog Active Filters by Applying the Richardson Extrapolation; Index.

Erscheinungsdatum	07.10.2017
Verlagsort	New York
Sprache	englisch
Gewicht	694 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	1-5361-2452-4 / 1536124524
ISBN-13	978-1-5361-2452-1 / 9781536124521
Zustand	Neuware