Tag: Swarm

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Free Download Swarm Intelligence Algorithms: A Tutorial By Adam Slowik
2020 | 348 Pages | ISBN: 0429749503 | PDF | 9 MB
Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This book thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. Each chapter deals with a different algorithm describing it in detail and showing how it works in the form of a pseudo-code. In addition, the source code is provided for each algorithm in Matlab and in the C ++ programming language. In order to better understand how each swarm intelligence algorithm works, a simple numerical example is included in each chapter, which guides the reader step by step through the individual stages of the algorithm, showing all necessary calculations. This book can provide the basics for understanding how swarm intelligence algorithms work, and aid readers in programming these algorithms on their own to solve various computational problems. This book should also be useful for undergraduate and postgraduate students studying nature-based optimization algorithms, and can be a helpful tool for learning the basics of these algorithms efficiently and quickly. In addition, it can be a useful source of knowledge for scientists working in the field of artificial intelligence, as well as for engineers interested in using this type of algorithms in their work. If the reader already has basic knowledge of swarm intelligence algorithms, we recommend the book: "Swarm Intelligence Algorithms: Modifications and Applications" (Edited by A. Slowik, CRC Press, 2020), which describes selected modifications of these algorithms and presents their practical applications.

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Free Download Glowworm Swarm Optimization: Theory, Algorithms, and Applications by Krishnanand N. Kaipa
English | PDF | 2017 | 265 Pages | ISBN : 3319515942 | 100.3 MB
This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers.

Free Download Spitfire Audio Percussion Swarm KONTAKT | 59.6 GB
A one-of-a-kind, encyclopaedic collection of beautiful cloud-like evolutions, pointillistic textures and single hits created from tuned and untuned percussion. This new world of dynamic sounds is a collaboration with three of the world’s most renowned percussionists, equipped with their enviably rare and extensive range of instruments.

Free Download The Nature of Marketing: Marketing to the Swarm as well as the Herd by Chuck Brymer
English | PDF (True) | 2009 | 214 Pages | ISBN : 0230203361 | 3 MB
The Nature of Marketing describes the power of social and consumer networking, and demonstrates the tangible benefits of building brand experiences that leverage this phenomena. In order to build sustainable desire and create demand, brands must be able to exert influence among these new kinds of community.

Free Download Swarm Intelligent Systems by Nadia Nedjah, Luiza de Macedo Mourelle
English | PDF | 2006 | 199 Pages | ISBN : 3540338683 | 8.9 MB
Swarm intelligence is an innovative computational way to solving hard pr- lems. This discipline is inspired by the behavior of social insects such as ?sh schools and bird ?ocks and colonies of ants, termites, bees and wasps. In g- eral, this is done by mimicking the behavior of the biological creatures within their swarms and colonies. Particle swarm optimization, also commonly known as PSO, mimics the behaviorofaswarmofinsectsoraschoolof?sh.Ifoneoftheparticlediscovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensionalspacethathavetwocharacteristics:apositionandavelocity. Theseparticleswanderaroundthehyperspaceandrememberthebestposition that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions. The ant colony optimization, commonly known as ACO, is a probabilistic technique for solving computational hard problems which can be reduced to ?ndingoptimalpaths.ACOisinspiredbythebehaviorofantsin?ndingshort paths from the colony nest to the food place. Ants have small brains and bad vision yet they use great search strategy. Initially, real ants wander randomly to ?nd food. They return to their colony while laying down pheromone trails. If other ants ?nd such a path, they are likely to follow the trail with some pheromone and deposit more pheromone if they eventually ?nd food.

Free Download Swarm Intelligence in Data Mining by Ajith Abraham, Crina Grosan, Vitorino Ramos
English | PDF | 2006 | 275 Pages | ISBN : 3540349553 | 11.3 MB
Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates. Data Mining is an analytic process designed to explore large amounts of data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data.

Free Download Swarm Intelligence for Multi-objective Problems in Data Mining by Carlos Artemio Coello Coello, Satchidananda Dehuri, Susmita Ghosh
English | PDF | 2009 | 296 Pages | ISBN : 3642036244 | 7.3 MB
The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objective swarm intelligence techniques in data mining, with the aim of motivating more researchers in evolutionary computation and machine learning to do research in this field.

Free Download Swarm Intelligence: Introduction and Applications by Christian Blum (Dr), Daniel Merkle (Dr)
English | PDF | 2008 | 283 Pages | ISBN : 3540740880 | 11.8 MB
Swarm intelligence is a modern arti?cial intelligence discipline that is c- cerned with the design of multiagent systems with applications, e.g., in – timization and in robotics. The design paradigm for these systems is fun- mentally di?erent from more traditional approaches. Instead of a sophisticated controller that governs the global behavior of the system, the swarm intelligence principle is based on many unsophisticated entities that cooperate in order to exhibit a desired behavior. Inspiration for the design of these systems is taken from the collective behavior of social insects such as ants, termites, bees, and wasps, as well as from the behavior of otheranimalsocietiessuchas?ocksofbirdsorschoolsof?sh.Coloniesofsocial insects have mesmerized researchers for many years. However, the principles that govern their behavior remained unknown for a long time. Even though the single members of these societies are unsophisticated individuals, they are able to achieve complex tasks in cooperation. Coordinated behavior emerges from relatively simple actions or interactions between the individuals.