Soft Computing: Techniques in Engineering Sciences

Soft Computing is used where a complex problem is not adequately specified for the use of conventional math and computer techniques. Soft computing has numerous real-world applications in domestic, commercial and industrial situations. This book elaborates on the most recent applications in various fields of engineering.

Nowadays, there are a lot of real-world engineering problems, which cannot be studied precisely due to the presence of impreciseness and uncertainties. To tackle these types of problems, soft computing techniques have found wide applications and have been proved to be a powerful problem-solving methodology because of their strong learning and cognitive ability and good tolerance of uncertainty and imprecision.

Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation.

Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.