scholarly journals A Mixed Integer Programming Poultry Feed Ration Optimisation Problem Using the Bat Algorithm

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Godfrey Chagwiza ◽  
Chipo Chivuraise ◽  
Christopher T. Gadzirayi
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Moringa Oleifera ◽  
Bat Algorithm ◽  
Mixed Integer ◽  
Poultry Feed ◽  
Integer Programming Problem ◽  
Optimum Solution ◽  
Mixed Integer Programming Problem ◽  
Number Of Iterations

In this paper, a feed ration problem is presented as a mixed integer programming problem. An attempt to find the optimal quantities of Moringa oleifera inclusion into the poultry feed ration was done and the problem was solved using the Bat algorithm and the Cplex solver. The study used findings of previous research to investigate the effects of Moringa oleifera inclusion in poultry feed ration. The results show that the farmer is likely to gain US$0.89 more if Moringa oleifera is included in the feed ration. Results also show superiority of the Bat algorithm in terms of execution time and number of iterations required to find the optimum solution as compared with the results obtained by the Cplex solver. Results revealed that there is a significant economic benefit of Moringa oleifera inclusion into the poultry feed ration.

HYBRID CODING PSO-ACO CO-EVOLUTIONARY ALGORITHM FOR SOLVING MIXED-INTEGER PROGRAMMING PROBLEMS

2013 ◽  
Vol 30 (03) ◽  
pp. 1340001 ◽  
Author(s):  
YUELIN GAO ◽  
MIAOMIAO WANG
Keyword(s):  
Integer Programming ◽  
Evolutionary Algorithm ◽  
Mixed Integer Programming ◽  
Mixed Integer ◽  
Penalty Function Method ◽  
Integer Programming Problem ◽  
The Real ◽  
Hybrid Coding ◽  
Integer Programming Problems ◽  
Mixed Integer Programming Problem

A co-evolutionary algorithm based on particle swarm optimization (PSO) and ant colony optimization (ACO) is given to solve the bound constrained mixed-integer programming problem (BCMIP). For the specificity of the problem, the hybrid coding includes the real coding and the integer coding. The real coding part is evolved by PSO while the integer coding part is evolved by ACO. The entire population is co-evolved by PSO and ACO. Numerical experiments show that the proposed algorithm is feasible and effective to solve BCMIP. We also obtain satisfactory result to solve MIP when the proposed algorithm is combined with penalty function method.

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