This paper proposes a logically inspired artificial bee colony algorithm (ABCLO) to deal with the knapsack and lot sizing problems shown in many forms such as in economics, engineering and business. The proposed ABC-LO algorithm aims to find fitter solutions using the search mechanism designed through the basic Boolean operators. To verify the effectiveness of the ABC-LO algorithm, it is analyzed and compared with the recent variants of particle swarm optimization, artificial bee colony and genetic algorithms. The results indicate that the proposed ABC-LO algorithm performs well in knapsack and lot sizing problem sets compared to the others.
This paper proposes a logically inspired artificial bee colony algorithm (ABCLO) to deal with the knapsack and lot sizing problems shown in many forms such as in economics, engineering and business. The proposed ABC-LO algorithm aims to find fitter solutions using the search mechanism designed through the basic Boolean operators. To verify the effectiveness of the ABC-LO algorithm, it is analyzed and compared with the recent variants of particle swarm optimization, artificial bee colony and genetic algorithms. The results indicate that the proposed ABC-LO algorithm performs well in knapsack and lot sizing problem sets compared to the others.
Primary Language | English |
---|---|
Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | August 3, 2018 |
Submission Date | September 10, 2017 |
Published in Issue | Year 2018 Volume: 6 Issue: 2 |