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Voltage Control Based on Fuzzy Adaptive Particle Swarm Optimization

of multi- objective function based on fuzzy set theory and adaptive particle swarm optimization. This methodology is applied to get a solution to;

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Advances in Swarm Intelligence

swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization;

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Advances in Swarm Intelligence

swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization;

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Intelligent Control

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based;

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Advances in Swarm and Computational Intelligence

-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms;

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Advances in Swarm and Computational Intelligence

-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms;

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Advances in Swarm and Computational Intelligence

-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms;

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Particle Swarm Optimization

modelled on swarm intelligence. Swarm intelligence is based on social-psychological principles and provides insights into social behaviour, as well;

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Advances in Swarm Intelligence, Part I

. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization;

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Advances in Swarm Intelligence

; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization.;

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Soft Computing with NeuroFuzzy Systems

-fuzzy systems, neuro-fuzzy inference systems, and neuro-fuzzy control. Section 1 focuses on intelligent neuro-fuzzy models, describing fuzzy;

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Advances in Swarm Intelligence

his two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm;

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Classification Analysis of DNA Microarrays

approaches such as fuzzy methods, artificial neural networks, evolutionary-based genetic algorithms, support vector machines, and swarm intelligence;

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Proceedings of International Conference on Scientific and Natural Computing

-organizing migrating algorithm, genetic algorithms, swarm intelligence based techniques, evolutionary computing, fuzzy computing, probabilistic;

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Advances in Swarm Intelligence

of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their;

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Advances in Swarm Intelligence

of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Systems Engineering Using Particle Swarm Optimization

and the latter presents systems that were designed based on particle swarm optimisation.;

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Advances in Swarm Intelligence

computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization;

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AI and SWARM

This book provides theoretical and practical knowledge on AI and swarm intelligence. It provides a methodology for EA (evolutionary;

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AI and SWARM

This book provides theoretical and practical knowledge on AI and swarm intelligence. It provides a methodology for EA (evolutionary;

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Swarm Intelligence Based Optimization

learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications;

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Fractional Order Darwinian Particle Swarm Optimization

segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle;

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Tuning Innovation with Biotechnology

This book deals with evolving intelligence systems and their use in immune algorithm (IM), particle swarm optimization (PSO), bacterial;

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Design and Control of Intelligent Robotic Systems

, particle swarm optimization and fuzzy logic based strategies for navigating a swarm of robots for target search in a hazardous environment, with;

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Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

reference text for graduate courses on swarm optimization, data clustering and classification, content-based multimedia search, and biomedical;

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