Maximizing population diversity in single-objective optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Expert Systems with Applications: An International Journal
A grammar-guided genetic programming algorithm for multi-label classification
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
Stable-Aware Evolutionary Routing Protocol for Wireless Sensor Networks
Wireless Personal Communications: An International Journal
An interpretable classification rule mining algorithm
Information Sciences: an International Journal
Provisioning virtual IPTV delivery networks using hybrid genetic algorithm
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Expert Systems with Applications: An International Journal
Singularity analysis and detection of 6-UCU parallel manipulator
Robotics and Computer-Integrated Manufacturing
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Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms. It covers such hot topics as: genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems. The reader is introduced to a range of applications, as Introduction to Evolutionary Algorithms demonstrates how to model real world problems, how to encode and decode individuals, and how to design effective search operators according to the chromosome structures with examples of constraint optimization, multiobjective optimization, combinatorial optimization, and supervised/unsupervised learning. This emphasis on practical applications will benefit all students, whether they choose to continue their academic career or to enter a particular industry. Introduction to Evolutionary Algorithms is intended as a textbook or self-study material for both advanced undergraduates and graduate students. Additional features such as recommended further reading and ideas for research projects combine to form an accessible and interesting pedagogical approach to this widely used discipline.