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Swarm Evolutionary and Memetic Computing

This volume constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Swarm, Evolutionary, and;

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Swarm, Evolutionary, and Memetic Computing

and selected from 40 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and;

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Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing

proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world;

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Artificial Evolution

-evolution, artificial life, population dynamics, theory, algorithmics and modeling, implementations, application of evolutionary paradigms to the;

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Artificial Evolution

-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the;

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Intelligent Computing Theories and Application

; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and;

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Intelligent Computing Theories and Application

; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and;

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Intelligent Computing Methodologies

; healthcare informatics theory and methods; artificial bee colony algorithms; differential evolution; memetic algorithms; swarm intelligence and;

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Artificial Evolution

, parallel evolutionary algorithms, and swarm intelligence.;

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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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Evolutionary Computing and Mobile Sustainable Networks

computing technologies, including swarm intelligence algorithms and other evolutionary algorithm paradigms which are emerging as widely accepted;

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Advances in Swarm Intelligence

selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired;

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Genetic and Evolutionary Computing

including evolutionary computing, machine learning, soft computing, data mining, multimedia and signal processing, swarm intelligence and security;

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Theory and Practice of Natural Computing

and unconventional computing; and swarm intelligence, evolutionary algorithms, and DNA computing.;

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Bio Inspired Computing Theories and Applications

. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; neural networks and machine;

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Theory and Practice of Natural Computing

; Evolutionary Computation; Genetic Algorithms, Swarm Intelligence, and Heuristics; Quantum Computing and Information.;

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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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Machine Intelligence and Soft Computing

September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and;

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Proceedings of International Conference on Scientific and Natural Computing

-organizing migrating algorithm, genetic algorithms, swarm intelligence based techniques, evolutionary computing, fuzzy computing, probabilistic;

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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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Bio-inspired Computing

from 197 submissions. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence;

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Recent Studies on Computational Intelligence

Computational Intelligence (DoSCI 2020). The book includes works in the areas of artificial intelligence, deep learning, evolutionary algorithms, swarm;

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Bio-inspired Computing

197 submissions. The papers in the two volumes are organized according to the topical headings: evolutionary computation and swarm;

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Evolutionary Computation in Combinatorial Optimization

theoretical studies. The methods included evolutionary and memetic algorithms, variable neighborhood search, particle swarm optimization;

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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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Intelligent Computing Theories and Application

in topical sections such as Evolutionary Computation and Learning; Neural Networks; Nature Inspired Computing and Optimization; Signal Processing;

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Unconventional Computation and Natural Computation

, granular, fuzzy and rough computing, mechanical computing, cellular, evolutionary, molecular, neural, and quantum computing, membrane computing;

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