Genetic Algorithms

 

 

Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science, engineering, business and social sciences. This book consists of 16 chapters organized into five sections. The first section deals with some applications in automatic control, the second section contains several applications in scheduling of resources, and the third section introduces some applications in electrical and electronics engineering. The next section illustrates some examples of character recognition and multi-criteria classification, and the last one deals with trading systems. These evolutionary techniques may be useful to engineers and scientists in various fields of specialization, who need some optimization techniques in their work and who may be using Genetic Algorithms in their applications for the first time. These applications may be useful to many other people who are getting familiar with the subject of Genetic Algorithms.

 

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• Chapter 1  Selection of Optimal Measuring Points Using Genetic Algorithm in the Process to Calibrate Robot Kinematic Parametersby Seiji Aoyagi
• Chapter 2  Model Predictive Controller Employing Genetic Algorithm Optimization of Thermal Processes with Non-Convex Constraintsby Goran Stojanovski and Mile Stankovski
• Chapter 3  Enhancing Control Systems Response Using Genetic PID Controllersby Osama Y. Mahmood Al-Rawi
• Chapter 4  Finite-Thrust Trajectory Optimization Using a Combination of Gauss Pseudospectral Method and Genetic Algorithmby Qibo Peng
• Chapter 5  Genetic Algorithm Application in Swing Phase Optimization of AK Prosthesis with Passive Dynamics and Biomechanics Considerationsby Ghasem Karimi and Omid Jahanian
• Chapter 6  Genetic Algorithms Application to Electric Power Systemsby Abdel-aal H. Mantawy
• Chapter 7  Genetic Algorithms Implement in Railway Management Information Systemby Jia Li-Min and Meng Xue-Lei
• Chapter 8  Efficient VLSI Architecture for Memetic Vector Quantizer Designby Chien-Min Ou and Wen-Jyi Hwang
• Chapter 9  Multiple Access System Designs via Genetic Algorithm in Wireless Sensor Networksby Shusuke Narieda
• Chapter 10  Genetic Algorithms in Direction Findingby Dario Benvenuti
• Chapter 11  Applications of Genetic Algorithm in Power System Control Centersby Camila Paes Salomon, Maurílio Pereira Coutinho, Carlos Henrique Valério de Moraes, Luiz Eduardo Borges da Silva Germano Lambert-Torres and Alexandre Rasi Aoki
• Chapter 12  Applying Genetic Algorithm in Multi Language's Characters Recognitionby Hanan Aljuaid
• Chapter 13  Multi-Stage Based Feature Extraction Methods for Uyghur Handwriting Based Writer Identificationby Kurban Ubul, Andy Adler and Mamatjan Yasin
• Chapter 14  Towards the Early Diagnosis of Alzheimer's Disease through the Application of a Multicriteria Classification Modelby Amaury Brasil, Plácido Rogério Pinheiro and André Luís Vasconcelos Coelho
• Chapter 15  Portfolio Management Using Artificial Trading Systems Based on Technical Analysisby Massimiliano Kaucic
• Chapter 16  Genetic Algorithm Application for Trading in Market toward Stable Profitable Methodby Tomio Kurokawa