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Dear researchers and scientists:
In this Book, formational aspects of different selected meta-heuristic algorithms on the computer and electrical engineering will be studied. This analysis is so useful and motivative for the researchers to design and creation of new meta-heuristics with higher performance.
Performance comparison of the selected meta-heuristic algorithms such as Particle Swarm Optimization, Invasive Weed Optimization Algorithm, Quantum based IWO, Firefly Algorithm, Artificial Bee Colony Algorithm, and World Cup Optimization algorithm within unconstrained global optimization benchmark problems by different features will be performed and studied for more understanding the concept of the algorithms.
In addition, all of these algorithms can be improved or even combinate with each other to turn the system performance more efficient in different ways.
Exploration and exploitation terms are studied and are analyzed in different algorithms and their profits and their drawbacks.
Since analysis of the Meta-heuristic algorithms can help us to survey the good researches about the applications of artificial intelligence in different fields from science to engineering and can inspire us to develop the introduced works in the future.
The main purpose of this Book is to study different applications of the Metaheuristics in Computer and Electrical Engineering. We provide a typical list of chapters/areas to cover both fundamental and advanced areas of "Metaheuristics and Optimization on Computer and Electrical Engineering". Submissions are solicited on the following topics, but are not limited to:
Introduction to meta-heuristics and their applications in computer and electrical engineering
Applications of meta-heuristics in the image processing and machine vision
Applications of meta-heuristics in the antenna design
Applications of meta-heuristics for optimal control of different systems
Applications of meta-heuristics for optimizing the neural network
Applications of meta-heuristics in the Fuzzy systems
Applications of meta-heuristics in the Neuro-Fuzzy systems
Applications of meta-heuristics in computer-aided diagnosis
Applications of meta-heuristics in the automation
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Editors:
Dr. Navid Razmjooy, IEEE Senior Member, Tafresh University, Iran
Email: [email protected] ([email protected])
Dr. Mohsen Ashourian, IEEE Senior Member, IAU-Majlesi Branch, Isfahan, Iran
Email: [email protected]
Dr. Zahra Foroozandeh , Faculdade de Engenharia da Universidade do Porto, Porto, Portugal
Email: [email protected]
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For any additional questions, don't hesitate to send us an email by:
[email protected]
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