Evolutionary computation approach to heat exchanger design.(Report): An article from: ASHRAE Transactions

This digital document is an article from ASHRAE Transactions, published by American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc. on July 1, 2010. The length of the article is 3373 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.

From the author: The technique used in ISHED employs two separate approaches to generate designs, the knowledge-based evolutionary computation module, and the. symbolic learning-based evolutionary computation module. The optimization example presented in this paper employed each module independently and used the combined approach to demonstrate the benefits of each module and the power of the combined module approach. The best circuitry designs determined through these optimization runs yielded substantial improvements over the original design: the symbolic learning and knowledge based modules returned circuitry designs that improved the heat exchanger capacity by 2.6% and 4.8% respectively, while the combined module approach resulted in a circuitry design that improved the capacity by 6.5 %.

Citation Details
Title: Evolutionary computation approach to heat exchanger design.(Report)
Author: David A. Yashar
Publication:ASHRAE Transactions (Magazine/Journal)
Date: July 1, 2010
Publisher: American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc.
Volume: 116 Issue: 2 Page: 135(8)

Article Type: Report

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