Data Mining: Know It All

Chapter 7. Fundamental Concepts of Genetic Algorithms

Evolutionary strategies address highly complex optimization and search problems through an emulation of natural selection. They also incorporate a form of parallel processing to effectively evaluate a large population of possible solutions. Their ability to solve high-dimensional, highly complex problems that are often intractable, slow, brittle, or difficult to formulate with conventional analytical techniques has made genetic algorithms and evolutionary programming a critical component in intelligent systems that require adaptive behavior, systematic exploration of alternatives, and multiobjective and multiconstraint optimization. This chapter introduces the concepts underlying genetic algorithms ...