Soft computing perspectives

Abstract

Soft computing stands for methods and techniques in fuzzy logic, probabilistic reasoning, neural networks, genetic algorithms, chaos or other approaches related to cognitive modeling. These overlapping domains can reinforce each other, thus offering suitable tools to represent and solve real world problems. Genetic algorithms and classifier systems are introduced in the framework of soft computing. Their interactions with other fields are discussed, especially in relation to neural networks and fuzzy logic based systems of If-Then rules. It finally presents fuzzy genetic algorithms involving soft (fuzzy) crossover operators.<>