Combustion Optimization Based on Computational Intelligence

✍ Scribed by Hao Zhou; Kefa Cen

Publisher: Springer
Year: 2018
Tongue: English
Leaves: 270
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book offers a unique guide for researchers in the areas of combustion optimization, NOx emission control, energy and power engineering, and chemical engineering.

📜 SIMILAR VOLUMES

Combustion Optimization Based on Computa

📁 Combustion Optimization Based on Computational Intelligence

✍ Hao Zhou,Kefa Cen (auth.) 📂 Library 📅 2018 🏛 Springer Singapore 🌐 English

This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes

Computational Intelligence-based Optimiz

📁 Computational Intelligence-based Optimization Algorithms

✍ Babak Zolghadr-Asli 📂 Library 📅 2023 🏛 CRC Press 🌐 English

Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming. These methods have bridged the gap between various approaches and created a new school of thought to solve real-world optimization p

Population-Based Optimization on Riemann

📁 Population-Based Optimization on Riemannian Manifolds (Studies in Computational Intelligence, 1046)

✍ Robert Simon Fong, Peter Tino 📂 Library 📅 2022 🏛 Springer 🌐 English

Manifold optimization is an emerging field of contemporary optimization that constructs efficient and robust algorithms by exploiting the specific geometrical structure of the search space. In our case the search space takes the form of a manifold. Manifold optimization

Intelligent Computing Based on Chaos

📁 Intelligent Computing Based on Chaos

✍ Warwick Tucker (auth.), Ljupco Kocarev, Zbigniew Galias, Shiguo Lian (eds.) 📂 Library 📅 2009 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Chaos is a fascinating phenomenon that has been observed in nature, laboratory, and has been applied in various real-world applications. Chaotic systems are deterministic with no random elements involved yet their behavior appears to be random. Observations of chaotic behavior in nature includ

Computational Intelligence-based Optimiz

📁 Computational Intelligence-based Optimization Algorithms : From Theory to Practice

✍ Zolghadr-Asli, Babak 📂 Library 📅 2024 🏛 CRC Press 🌐 English

Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming. These methods have bridged the gap between various approaches and created a new school of thought to solve real-world optimization problems.

Computational Intelligence Based on Latt

📁 Computational Intelligence Based on Lattice Theory

✍ Vassilis G. Kaburlasos, Gerhard X. Ritter 📂 Library 📅 2007 🏛 Springer 🌐 English

This eighteen-chapter book presents the latest applications of lattice theory in Computational Intelligence (CI). The book focuses on neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The book comes out of a special session held during the World Council for