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Fundamentals of Computational Swarm Intelligence provides a comprehensive introduction to the new computational paradigm of Swarm Intelligence (SI), a field that emerged from biological research, and is now picking up momentum within the computational research community. Bio-inspired systems are becoming increasingly important research areas for computer scientists, engineers, economists, bioinformaticians, operational researchers, and many other disciplines. This book introduces the reader to the mathematical models of social insects collective behaviour, and shows how they can be used in solving optimization problems. Focusing on the algorithmic implementation of models of swarm behavior, this book: Examines how social network structures are used to exchange information among individuals, and how the aggregate behaviour of these individuals forms a powerful organism. Introduces a compact summary of the formal theory of optimisation. Outlines paradigms with relations to SI, including genetic algorithms, evolutionary programming, evolutionary strategies, cultural algorithms and co-evolution. Looks at the choreographic movements of birds in a flock as a basis for the Particle Swarm Optimization (PSO) models, and provides an extensive treatment of different classes of PSO models. Shows how the behaviour of ants can be used to implement Ant Colony Optimization (ACO) algorithms to solve real-world problems including routing optimization, structure optimization, data mining and data clustering. Considers different classes of optimization problems, including multi-objective optimization, dynamic environments, discrete and continuous search spaces, constrained optimization, and niching. Includes an accompanying website containing Java classes and implementations of the different algorithms that can be used to test PSO and ACO algorithms: http://si.cs.up.ac.za The interdisciplinary nature of this field will make Fundamentals of Computational Swarm Intelligence an essential resource for readers with diverse backgrounds. In addition, it will be an excellent reference for computer scientists, practitioners in business or industry and researchers involved in the analysis, design and simulation of multibody systems. Advanced undergraduates and graduate students in artificial intelligence, collective intelligence and engineering will also find this book an invaluable tool. Recurrent neural network - Wikipedia A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle This creates an internal state of the Computer Science Conference Rank - Paris 13 University Antonym Name Rank; AAAI: National Conference of the American Association for Artificial Intelligence: A*: AAMAS: International Conference on Autonomous Agents and - Department of Computer Science - University of Pretoria This module introduces imperative computer programming which is a fundamental building block of computer science The process of constructing a program for solving a Particle swarm optimization - Scholarpedia In particle swarm optimization simple software agents called particles move in the search space of an optimization problem The position of a particle Fundamentals of Genetic Algorithms - myreadersinfo RC Chakraborty myreadersinfo Fundamentals of Genetic Algorithms Artificial Intelligence Topics (Lectures 39 40 2 hours) Slides 1 Introduction Particle Swarm Optimization: Tutorial PSO is a new swarm intelligence technique inspired by social behavior of bird flocking or fish schooling Resources / Machine Intelligence / Platforms & Tools Platforms and Tools Figure 1 illustrates some example platforms and tech user tools that can be utilised in research and application related projects via AI With The Best online conference for developers Why deep neural nets cannot ever match biological intelligence and what to do about it? Fundamental Engineering Optimization Methods - Bookboon Preface This book is addressed to students in fields of engineering and technology as well as practicing engineers It covers the fundamentals of commonly used Journal Rankings on Artificial Intelligence International Scientific Journal & Country Ranking Display only Open Access Journals Display only SciELO Journals (In Progress)
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