This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms.
Read More
This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms.
Read Less
Add this copy of Archiving Strategies for Evolutionary Multi-Objective to cart. $95.89, new condition, Sold by ASHFORD BOOK STORE rated 5.0 out of 5 stars, ships from Weybridge, SURREY, UNITED KINGDOM, published 2021 by Springer.
Add this copy of Archiving Strategies for Evolutionary Multi-objective to cart. $176.42, new condition, Sold by Ria Christie Books rated 5.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2022 by Springer Nature Switzerland AG.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Contains: Illustrations, black & white, Illustrations, color. Studies in Computational Intelligence . XIII, 234 p. 130 illus., 44 illus. in color. Intended for professional and scholarly audience.
Add this copy of Archiving Strategies for Evolutionary Multi-Objective to cart. $177.56, new condition, Sold by Ria Christie Books rated 5.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2021 by Springer.
![Archiving Strategies for Evolutionary Multi-Objective Optimization Algorithms: 938 (Studies in Computational Intelligence, 938) [Hardcover] [Jan 05, 2021] Schütze, Oliver and Hernández, Carlos](https://www.alibris-static.com/isbn/9783030637729_t.gif)
