Intelligent system applications in solving engineering problems

Summary form only given. Due to increased complexity of the systems, cost reduction and detail modeling of the systems, the requirements of optimization have been increased. The conventional methods, which guarantee to provide the optimal solution, fail to solve many practical problems due to several requirements of these methods. The most familiar conventional optimization techniques fall in two categories viz. calculus based method and enumerative schemes. Though well developed, these techniques possess significant drawbacks. Calculus based optimization generally relies on continuity assumptions and existence of derivatives. Enumerative techniques rely on special convergence properties and auxiliary function evaluation. Moreover, these optimizations are generally single path search and stuck with the local optima.