Evolutionary Algorithms Based on the Automata Theory for the Multi-Objective Optimization of Combinatorial Problems
Elias D. · InTech eBooks · 2012
This chapter is structured as follows: Section 2 shows important definitions to understand the Multi-objective Combinatorial Optimization and the Metaheuristic Approximation.Section 3, 4 and 5 discuss Evolutionary Metaheuritics based on the Automata Theory for the Multi-objective Optimization of Combinatorial Problems.Finally, Section 6 and 7 discuss the Experimental Results of each proposed Algorithm using Multi-objective Metrics from the specialized literature.82 Real-World Applications of Genetic Algorithms www.intechopen.com How to referenceIn order to correctly reference this scholarly work, feel free to copy and paste the following: Elias D. Niño (2012).Evolutionary Algorithms Based on the Automata Theory for the Multi-Objective Optimization of Combinatorial Problems, Real-World Applications of Genetic Algorithms, Dr. Olympia Roeva (Ed.),