This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.10.5. Civil. Engineering. 10.5.1. Genetic. Algorithm. as. Automatic. Structural. Design. Tool. The simple GA while powerful, is perhaps too general to be efficient and robust for structural design problems. First, function (or, fitness) evaluationsanbsp;...
|Title||:||Introduction to Genetic Algorithms|
|Author||:||S.N. Sivanandam, S. N. Deepa|
|Publisher||:||Springer Science & Business Media - 2007-10-24|