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Recent Advances in Swarm Intelligence and Evolutionary Computation

swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation;

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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

algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data;

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Evolutionary Computation & Swarm Intelligence

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Machine Intelligence and Smart Systems

algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation.;

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Advances in Swarm Intelligence, Part I

system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Unconventional Computation and Natural Computation

, evolutionary computation, swarm intelligence and computational neuroscience.;

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Swarm Intelligence

of intelligentadaptive behavior and evolutionary computation. * Describes recent results of experiments with the particle swarm

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Evolutionary Computation in Scheduling

solved using evolutionary computations, including evolutionary algorithms and swarm intelligence Consists of four main parts: Introduction to;

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Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence;

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Exploring Critical Approaches of Evolutionary Computation

, evolutionary programming, genetic programming, and related fields such as swarm intelligence and other evolutionary computation techniques;

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Unconventional Computation and Natural Computation

; cellular automata; neural and evolutionary computation; artificial immune systems; Ant algorithms and swarm intelligence; amorphous computing;

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Advances in Swarm and Computational Intelligence

separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems;

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Advances in Swarm and Computational Intelligence

separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems;

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Advances in Swarm and Computational Intelligence

separation; swarm interaction behavior; parameters and system optimization; neural networks; evolutionary and genetic algorithms; fuzzy systems;

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Recent Trends in Image and Signal Processing in Computer Vision

This book highlights recent advances and emerging technologies that utilize computational intelligence in signal processing, computing;

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Unconventional Computation and Natural Computation

, evolutionary, molecular, neural, and quantum computing; membrane computing; amorphous computing, swarm intelligence; artificial immune systems; physics;

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Applications of Advanced Computing in Systems

is advances in systems and it is dedicated to applications of the artificial neural networks, evolutionary computation, swarm intelligence, artificial;

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Socio cultural Inspired Metaheuristics

This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm;

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Nature-Inspired Computation and Swarm Intelligence

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization;

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Intelligent Distributed Computing XII

architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm;

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Applications of Hybrid Metaheuristic Algorithms for Image Processing

computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image;

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Parallel Problem Solving from Nature -- PPSN XIV

computation; graph-based and cartesian genetic programming; theory of parallel evolutionary algorithms; promoting diversity in evolutionary;

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Computational Intelligence

: evolutionary computation, fuzzy computation, neural computation, and cognitive and hybrid systems. As well as presenting the recent advances of these;

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Metaheuristics in Machine Learning

in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections;

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