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Shulph Ink

Hybrid Computational Intelligent Systems: Modeling, Simulation and Optimization

Hybrid Computational Intelligent Systems: Modeling, Simulation and Optimization

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  • More about Hybrid Computational Intelligent Systems: Modeling, Simulation and Optimization


Hybrid Computational Intelligent Systems – Modeling, Simulation, and Optimization explores the latest advances in hybrid intelligent modeling and simulation of human-centric data-intensive applications, enabling researchers to find novel breakthroughs. It covers optimization strategies, novel applications, and a self-contained approach to integrating principles of hybrid computational intelligence with system modeling and simulation.

Format: Hardback
Length: 366 pages
Publication date: 03 May 2023
Publisher: Taylor & Francis Ltd


Hybrid Computational Intelligent Systems – Modeling, Simulation, and Optimization delves into the cutting-edge advancements in developing hybrid intelligent modeling and simulation techniques for human-centric data-intensive applications, with a focus on real-time optimization. This comprehensive volume explores the fundamentals of modeling and simulation, incorporating knowledge-based simulation, interaction paradigms, and human factors. It also highlights the enhancement of existing state-of-the-art techniques in high-performance computing setups. Additionally, the book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation.

The volume showcases novel applications for diverse engineering problems, such as signal and data processing, speech recognition, image processing, sensor data processing, innovative intelligent systems, and swarm intelligent manufacturing systems.

Key Features:

A self-contained approach to integrating hybrid computational intelligence principles with system modeling and simulation.

A thorough foundation in computational intelligence and its practical applications in real-life engineering problems.

Clear explanations of essential background, concepts, definitions, and theories, providing a comprehensive treatment of the subject.

Effective modeling of hybrid intelligent systems forms the backbone of many operational systems in real life.

Proper simulation of real-time hybrid intelligent systems is crucial for deriving practical system solutions.

Optimized system modeling and simulation enable real-time and reliable operations of existing hybrid intelligent system solutions.

The information is presented in an accessible manner, making it valuable for researchers, engineers, developers, and practitioners in the field.

Weight: 706g
Dimension: 162 x 241 x 27 (mm)
ISBN-13: 9781032393025

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