Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.The total cost of the profile becomes hours offofcost (7.38) air. purged ofcost yrs hrAmkW $ time cycle BHP BHP yr hrs ... over the study period is added to the total capital cost of all components along with the replacement cost of all filter elements.
|Author||:||Kenneth Price, Rainer M. Storn, Jouni A. Lampinen|
|Publisher||:||Springer Science & Business Media - 2006-03-04|