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Titlebook: Intelligent Control; A Stochastic Optimiz Kaushik Das Sharma,Amitava Chatterjee,Anjan Rakshi Book 2018 Springer Nature Singapore Pte Ltd. 2

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Book 2018theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the
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Fuzzy Controller Design I: Stochastic Algorithm-Based Approachystems. In recent times, more and more attentions are paid to systematic design of FLCs from the point of view of stable behavior and optimization of performance indices. Several such stable and optimized FLCs have been proposed utilizing, e.g., neural network, GA, PSO, ant colony.
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Some Contemporary Stochastic Optimization Algorithms: A Glimpse system design has displayed very promising outcomes. Stochastic optimization methods are general-purpose procedures, conceptualized mostly as empirical evolutionary laws and often mimic the nature-inspired strategies.
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