*Result*: A Java-based parallel platform for the implementation of evolutionary computation for engineering applications.

*As computers continually improve in performance and decrease in manufacturing cost, distributed systems consisting of multiple computers implemented as parallel computation platforms have become viable for engineering applications which demand intensive computation power. This paper proposes an extended version of a previously developed low cost parallel computation platform called para worker. The system is based on a cluster structure which is a form of a distributed system. The view system is termed para worker 2 which differentiates it from the earlier system. The new proposed system adds enhanced features of improved dynamic object reallocation adaptive consistency protocols, and location transparency. Performance of the para worker 2 has proven to be superior to the para worker. Testing was based on an execution of Genetic Algorithm to solve the Economic Dispatch problem in Power Engineering. The proposal is particularly useful for the implementation and execution of computational intelligence techniques such as evolutionary computing for engineering applications. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Systems Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)*