qThis book provides applications of nature inspired computing for economic theory and practice, finance and stock-market, manufacturing systems, marketing, e-commerce, e-auctions, multi-agent systems and bottom-up simulations for social sciences and operations managementq--Provided by publisher.In terms of computing performance, JGA was second to GAlib and clearly outperformed SAS and Matlab. CONCLUSION We have presented the Java Genetic Algorithm (JGA) framework, a flexible object-oriented computational tool for rapid prototyping and implementation of evolutionary algorithms. From a practical side, we ... It is worth mentioning that GAlib produces native code, while JGA is platform independent and runs on top of the Java Virtual Machine. Some speed up can beanbsp;...
|Title||:||Handbook of Research on Nature-Inspired Computing for Economics and Management|
|Publisher||:||IGI Global - 2006-09-30|