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Fractional Order Darwinian Particle Swarm Optimization

Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm;

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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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Particle Swarm Optimization

Particle swarm optimisation (PSO) is an algorithm modelled on swarm intelligence that finds a solution to an optimisation problem in a;

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Particle Swarm Optimization

This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary;

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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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Advances in Swarm Intelligence

Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks;

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Advances in Swarm Intelligence

; theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic;

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Systems Engineering Using Particle Swarm Optimization

Swarm intelligence is an innovative computational way to solve hard problems. This discipline is inspired by the behaviour of social insect;

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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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Advances in Swarm Intelligence

optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms;

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Advances in Swarm Intelligence

optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms;

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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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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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Swarm Intelligence Methods for Statistical Regression

to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization;

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Swarm Intelligence Methods for Statistical Regression

to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization;

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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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Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a;

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Swarm Intelligence Based Optimization

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence;

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Particle Swarm Optimization

This work aims to provide new introduction to the particle swarm optimization methods using a formal analogy with physical systems. By;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field;

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Applying Particle Swarm Optimization

This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio;

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New Advancements in Swarm Algorithms

. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization;

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