TY - CHAP A1 - Elias D. NiƱo ED1 - Olympia Roeva Y1 - 2012-03-07 PY - 2012 T1 - Evolutionary Algorithms Based on the Automata Theory for the Multi-Objective Optimization of Combinatorial Problems N2 - The book addresses some of the most recent issues, with the theoretical and methodological aspects, of evolutionary multi-objective optimization problems and the various design challenges using different hybrid intelligent approaches. Multi-objective optimization has been available for about two decades, and its application in real-world problems is continuously increasing. Furthermore, many applications function more effectively using a hybrid systems approach. The book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. The book examines various examples of algorithms in different real-world application domains as graph growing problem, speech synthesis, traveling salesman problem, scheduling problems, antenna design, genes design, modeling of chemical and biochemical processes etc. BT - Real-World Applications of Genetic Algorithms SP - Ch. 4 UR - https://doi.org/10.5772/36101 DO - 10.5772/36101 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-09-26 ER -