An ABC Algorithm Inspired by Boolean Operators for Knapsack and Lot Sizing Problems
Abstract
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.
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Emrah Hançer
Mehmet Akif Ersoy University
Türkiye
Publication Date
August 3, 2018
Submission Date
September 10, 2017
Acceptance Date
May 31, 2018
Published in Issue
Year 2018 Volume: 6 Number: 2
Cited By
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement
IEEE Transactions on Emerging Topics in Computational Intelligence
https://doi.org/10.1109/TETCI.2024.3502471