Novel Genetic Algorithm towards Implementing a Lining-Layout Optimization Strategy
This paper presents the strategies for optimizing planting areas.
The three strategies considered for preparing field lining; 1) 60 deg
line-direction 2) selecting the best line-direction for single block
and 3) selecting the best line-directions for many separate blocks,
might lead to different numbers of trees. Thus, an application
named Lining-Layout Planning by Intelligent Computerized
System (LLP-ICS) is introduced to choose the best strategy.
Because there are many possible solutions with ambiguous
results, a novelty of Genetic Algorithm (GA) for lining-layout
with focusing on the two approaches which are 1) assigning the
determined random values to the genes of chromosome, 2)
avoiding the same solution of optimal blocks occurs, was applied
to suggest the optimal solution intelligently. The aim of this
study was to suggest the best strategy among the various area
coordinates tested. In addition, the capability of the application
by novel GA was also examined. The results indicated that the
LLP-ICS produces a consistent solution with feasible results and
less number of repetition processes led to reduce the computation
time.
Keywords: Optimization, Genetic algorithm, Lining-layout,
Optimal solution
Download Full-Text
