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Advance GA Operators and Techniques in Search and Optimization
Abstract
Genetic algorithms (GAs) are the latest technique to solve problems. A huge amount of research work is available but still there are a lot of newer avenues which have to be explored. In this chapter, the authors discuss variations in the GA operators that can be done and various other background operators that can be use to improve the efficiency and efficacy of GAs. It is not just like a mathematical or statistical technique. In this chapter, the authors discuss various procedural variations, twists and turns, and special meaning they could give to the GA operators in order to improve the solution quality. These newer operators and variations might be useful for researchers in the implementation of GAs to find better solutions.
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