The Direction of Arrival (DOA) Information Received from Scenarios taken for 2, 3 Problem Estimation far Field Sources and 4 Sources Fitness Development of fitness function in Formulation of Data Modeling Mean Square sense Function Model for DOA Variant of Hybrid Computational Intelligence Optimization Global Search with Variant of Local Search with Sequential Genetic Algorithms (GAs) Quadratic Programming (SQP) Randomly Start point: Best GA parameter SQP Parameter generate Initial Individual of GA settings using settings using Population, other variants, other ‘gaoptimset’ ‘Optimset’ assignments, and assignments, function function bounds etc bounds etc GA Initialization SQP Initialization Calculate GAs fmincon Fitness Calculate Fitness Reproduction mechanism to update population with step Iterative increment in generation update of using Selection, Crossover, weights by and Mutation operators etc ASM No Termination No Termination Criterion Criterion Fulfilled? Fulfilled? Yes Yes Best Individual of GA Best Weights of GA- variants SQP algorithms Proposed Comparison of results using statistical Store optimized parameter, fitness value, and performance measures Time taken for this run Results Keywords Direction of arrival Genetic algorithms Memetic computing Sequential quadratic programming Parameters estimations 123 Design of Bio-inspired Heuristic Techniques Hybridized with… 1477 1 Introduction Parameter estimation of electromagnetic plane waves
Wireless Personal Communications – Springer Journals
Published: May 2, 2017
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