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Systems Engineering Using Particle Swarm Optimization

: ant colony optimisation and particle swarm optimisation. The former describes systems that have been engineered using ant colony optimisation;

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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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Particle Swarm Optimization

as contributing to engineering applications. This book presents information on particle swarm optimisation such as using mono-objective and;

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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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Tuning Innovation with Biotechnology

approaches optimal intelligent tuning using a hybrid genetic algorithm-particle swarm optimization (GA-PSO) and illustrates hybrid GA-PSO for;

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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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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

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

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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

describe the practical benefits of applying particleswarm optimization to a range of engineering problems. Developed bythe authors;

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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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Optimizing Engineering Problems through Heuristic Techniques

evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like ant colony;

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Optimizing Engineering Problems through Heuristic Techniques

Describes evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like;

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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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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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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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Proceedings of International Conference on Scientific and Natural Computing

computing, genetic programming, particle swarm optimization, neuro computing, hybrid methods, deep learning, including convolutional neural networks;

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Applications of Swarm Intelligence

of Particle Swarm Optimization (PSO) methods to inverse heat radiation problems and PSO as a technique in computational electromagnetism problems.;

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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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Hybrid Metaheuristics for Image Analysis

techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book;

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Metaheuristic Optimization for the Design of Automatic Control Laws

. Contents 1. Introduction and Motivations. 2. Symbolic Regression. 3. PID Design Using Particle Swarm Optimization. 4. Tuning and Optimization;

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Using Swarm Intelligence for Distributed Job Scheduling on the Grid

computations. This research proposes two new distributed swarm intelligence inspired load balancing algorithms. One is based on ant colony optimization;

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