Title
Evolutionary MultiObjective System Design: Theory and Applications (Chapman & Hall/CRC Computer and Information Science Series),Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Realworld engineering problems often require concurrent optimization of several design objectives, which are conflicting in cases. This type of optimization is generally called multiobjective or multicriterion optimization. The area of research that applies evolutionary methodologies to multiobjective optimization is of special and growing interest. It brings a viable computational solution to many realworld problems.Generally, multiobjective engineering problems do not have a straightforward optimal design. These kinds of problems usually inspire several solutions of equal efficiency, which achieve different tradeoffs. Decision makers preferences are normally used to select the most adequate design. Such preferences may be dictated before or after the optimization takes place. They may also be introduced interactively at different levels of the optimization process. Multiobjective optimization methods can be subdivided into classical and evolutionary. The classical methods usually aim at a single solution while the evolutionary methods provide a whole set of socalled Paretooptimal solutions.Evolutionary MultiObjective System Design: Theory and Applicationsprovides a representation of the stateoftheart in evolutionary multiobjective optimization research area and related new trends. It reports many innovative designs yielded by the application of such optimization methods. It also presents the application of multiobjective optimization to the following problems:Embrittlement of stainless steel coated electrodesLearning fuzzy rules from imbalanced datasetsCombining multiobjective evolutionary algorithms with collective intelligenceFuzzy gain scheduling controlSmart placement of roadside units in vehicular networksCombining multiobjective evolutionary algorithms with quasisimplex local searchDesign of robust substitution boxesProtein structure prediction problemCore assignment for efficient networkonchipbased system design
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.