Скачать или смотреть HoR on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

HoR on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

IGI GlobalInformation Science and TechnologyArtificial Immune SystemsCellular AutomataDifferential evolutionEvolutionary AlgorithmGenetic ProgrammingMemetic algorithmsParticle swarm optimizationSimulated annealingSupport vector machinesComputer Science and Information Technology978-1-5225-2857-9Artificial IntelligenceBiologically-Inspired ComputingHandbook of ResearchSujata DashB.K. TripathyAtta ur Rahman

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Описание к видео HoR on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
Sujata Dash (North Orissa University, India), B.K. Tripathy (VIT University, India), Atta ur Rahman (University of Dammam, Saudi Arabia),

Release Date: 08/10/2017
Copyright: © 2018
Pages: 538
ISBN13: 9781522528579
ISBN10: 1522528571
EISBN13: 9781522528586
DOI: 10.4018/978-1-5225-2857-9

http://services.igi-global.com/resolv...
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Description:

The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems.
The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.

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Topics Covered:
• Artificial Immune Systems
• Cellular Automata
• Differential evolution
• Evolutionary Algorithm
• Genetic Programming
• Memetic algorithms
• Particle swarm optimization
• Simulated annealing
• Support vector machines

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