Andere Kunden interessierten sich auch für
![Optimal Design of FIR & IIR Filters by using Evolutionary Algorithms]( "Optimal Design of FIR & IIR Filters by using Evolutionary Algorithms")
Optimal Design of FIR & IIR Filters by using Evolutionary Algorithms32,99 €![Applications of Evolutionary Algorithms in VLSI]( "Applications of Evolutionary Algorithms in VLSI")
Applications of Evolutionary Algorithms in VLSI38,99 €![Brain Computer Interface with ICA and Evolutionary Algorithms]( "Brain Computer Interface with ICA and Evolutionary Algorithms")
Brain Computer Interface with ICA and Evolutionary Algorithms16,99 €![PSO-Based Evolutionary Learning]( "PSO-Based Evolutionary Learning")
PSO-Based Evolutionary Learning38,99 €![Adaptive IAS : Evolutionary autonomous optimal fuzzy path finding strategy]( "Adaptive IAS : Evolutionary autonomous optimal fuzzy path finding strategy")
Adaptive IAS : Evolutionary autonomous optimal fuzzy path finding strategy27,99 €![Multi-Objective Evolutionary Algorithms for Cognitive Radio Networks]( "Multi-Objective Evolutionary Algorithms for Cognitive Radio Networks")
Multi-Objective Evolutionary Algorithms for Cognitive Radio Networks58,99 €![Linear Antenna Array Using Golden Ratio Positioning of System]( "Linear Antenna Array Using Golden Ratio Positioning of System")
Linear Antenna Array Using Golden Ratio Positioning of System26,99 €
The book focuses on the basics of a number of evolutionary algorithms for electromagnetic optimization instances. It includes conventional optimization strategies like simulated annealing, particle swarm optimization, differential evolution along with their improved variants. Moreover, the text introduces several recently developed nature inspired metaheuristic algorithms like artificial bees colony optimization, fire fly algorithm and gravitational search algorithm. The book reviews the effect of mutual coupling on the operation of different array geometry using induced EMF technique. It presents a rigorous analysis of linear array antennas of half wave dipoles and optimizes the radiation characteristics of non-uniformly spaced and non-uniformly excited linear array of parallel and collinear dipoles considering mutual coupling using evolutionary algorithms: Particle Swarm Optimization and Differential Evolution. Coupling effect between the elements and analyzed using induced EMFmethod and minimized in terms of SWR. Numerical results obtained from both the algorithms are proved highly efficient and statistically compared to present a comprehensive overview.