期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2019
卷号：11
期号：1
页码：223-235
DOI：10.15676/ijeei.2019.11.1.13
出版社：School of Electrical Engineering and Informatics
摘要：The biggest obstacle faced by cattleman in cattle fattening is the high feed cost. Cattleman has toformulate cattle feed that meets the nutrient requirements of their cattle and minimize the feed costs. Theseproblems belong to a class of constrained optimization. Various heuristic and deterministic algorithms havebeen used for solving the constrained optimization problems and applied to the feedstuffs composition.However, there is still some instability in finding mainly a reliable technique that can steadily discoversolutions, which are truly near the global optimum of the problem. This paper proposes a combinedModified Evolution Strategies (MES) and Linear Programming (LP) method, named MESLP foroptimizing the beef cattle feed. From this study, this novel method obtained a better result than either LP,Random Search, Genetic Algorithm, or Evolution Strategies with higher fitness and lower price.
关键词：Evolution Strategies; Linear Programming; beef cattle feed
