UUM Repository | Universiti Utara Malaysian Institutional Repository
FAQs | Feedback | Search Tips | Sitemap

Investigating feed mix problem approaches: An overview and potential solution

Abd Rahman, Rosshairy and Chooi, Leng Ang and Ramli, Razamin (2010) Investigating feed mix problem approaches: An overview and potential solution. World Academy of Science, Engineering and Technology, 70. pp. 467-475. ISSN 2010-376X

Download (373kB) | Preview


Feed is one of the factors which play an important role in determining a successful development of an aquaculture industry. It is always critical to produce the best aquaculture diet at a minimum cost in order to trim down the operational cost and gain more profit. However, the feed mix problem becomes increasingly difficult since many issues need to be considered simultaneously.Thus, the purpose of this paper is to review the current techniques used by nutritionist and researchers to tackle the issues. Additionally, this paper introduce an enhance algorithm which is deemed suitable to deal with all the issues arise. The proposed technique refers to Hybrid Genetic Algorithm which is expected to obtain the minimum cost diet for farmed animal, while satisfying nutritional requirements. Hybrid GA technique with artificial bee algorithm is expected to reduce the penalty function and provide a better solution for the feed mix problem.

Item Type: Article
Uncontrolled Keywords: Artificial Bee Algorithm, Feed Mix Problem, Hybrid Genetic Algorithm
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Prof. Madya Dr. Razamin Ramli
Date Deposited: 12 May 2011 01:49
Last Modified: 12 May 2011 01:49
URI: http://repo.uum.edu.my/id/eprint/2840

Actions (login required)

View Item View Item