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Information technology --- Digital communications --- Swarm intelligence --- Collective intelligence --- Cellular automata --- Distributed artificial intelligence

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The book is about the key elements required for designing, building and controlling effective artificial swarms comprised of multiple moving physical agents. Therefore this book presents the fundamentals of each of those key elements in the particular frame of dynamic swarming, specifically exposing the profound connections between these elements and establish some general design principles for swarming behaviors. This scientific endeavor requires an inter-disciplinary approach: biomimetic inspiration from ethology and ecology, study of social information flow, analysis of temporal and adaptive signaling network of interaction, considerations of control of networked real-time systems, and lastly, elements of complex adaptive dynamical systems. This book offers a completely new perspective on the scientific understanding of dynamic collective behaviors thanks to its multi-disciplinary approach and its focus on artificial swarm of physical agents. Two of the key problems in understanding the emergence of swarm intelligent behaviors are identifying the social interaction rules a.k.a. the behavioral algorithm and uncovering how information flows between swarming agents. While most books about swarm dynamics have been focusing on the former, this book emphasizes the much-less discussed topic of distributed information flow, always with the aim of establishing general design principles.

Computer Science --- Engineering & Applied Sciences --- Swarm intelligence --- Computer algorithms --- Social aspects. --- Collective intelligence --- Cellular automata --- Distributed artificial intelligence --- Algorithms --- Engineering. --- Statistical physics. --- Complexity. --- Complex Systems. --- Control and Systems Theory. --- Statistical Physics and Dynamical Systems. --- Physics --- Mathematical statistics --- Construction --- Industrial arts --- Technology --- Statistical methods --- Computational complexity. --- Dynamical systems. --- Control engineering. --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Statics --- Complexity, Computational --- Electronic data processing --- Machine theory

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This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages. Further, it demonstrates the superiority and key advantages of using the FODPSO algorithm, such as its ability to provide an improved convergence towards a solution, while avoiding sub-optimality. This book offers a valuable resource for researchers in the fields of robotics, sports science, pattern recognition and machine learning, as well as for students of electrical engineering and computer science.

Artificial intelligence. --- Engineering. --- Systems theory. --- Engineering & Applied Sciences --- Computer Science --- Swarm intelligence. --- Mathematical optimization. --- Evolution equations. --- Evolutionary equations --- Equations, Evolution --- Equations of evolution --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Collective intelligence --- System theory. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Systems Theory, Control. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Systems, Theory of --- Systems science --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Philosophy --- Differential equations --- Mathematical analysis --- Maxima and minima --- Operations research --- System analysis --- Cellular automata --- Distributed artificial intelligence --- Artificial Intelligence.

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This volume constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2015, held in Hyderabad, India, in December 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 40 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

Computer science. --- Computer communication systems. --- Software engineering. --- Computers. --- Algorithms. --- Artificial intelligence. --- Pattern recognition. --- Computer Science. --- Computation by Abstract Devices. --- Artificial Intelligence (incl. Robotics). --- Algorithm Analysis and Problem Complexity. --- Pattern Recognition. --- Computer Communication Networks. --- Software Engineering. --- Design perception --- Pattern recognition --- Algorism --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer software engineering --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Informatics --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Form perception --- Perception --- Figure-ground perception --- Algebra --- Arithmetic --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Engineering --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Science --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Foundations --- Distributed processing --- Computer software. --- Optical pattern recognition. --- Artificial Intelligence. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Software, Computer --- Swarm intelligence --- Collective intelligence --- Cellular automata --- Distributed artificial intelligence --- Pattern recognition systems. --- Computer networks. --- Theory of Computation. --- Automated Pattern Recognition. --- Pattern classification systems --- Pattern recognition computers --- Computer vision

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This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains.

Computer science. --- Microprocessors. --- Special purpose computers. --- Architecture, Computer. --- Algorithms. --- Computer science --- Artificial intelligence. --- Computer Science. --- Algorithm Analysis and Problem Complexity. --- Artificial Intelligence (incl. Robotics). --- Computer System Implementation. --- Special Purpose and Application-Based Systems. --- Processor Architectures. --- Discrete Mathematics in Computer Science. --- Mathematics. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Algorism --- Architecture, Computer --- Special purpose computers --- Informatics --- Mathematics --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algebra --- Arithmetic --- Computers --- Minicomputers --- Science --- Foundations --- Computer software. --- Computer network architectures. --- Software engineering. --- Computational complexity. --- Artificial Intelligence. --- Complexity, Computational --- Computer software engineering --- Engineering --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Software, Computer --- Computer systems --- Swarm intelligence --- Collective intelligence --- Cellular automata --- Distributed artificial intelligence --- Computer science—Mathematics. --- Computer systems. --- Computers, Special purpose. --- Computer architecture. --- Discrete mathematics. --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Electronic systems --- Cyberinfrastructure