Artificial Bee Colony Algorithm Merged with Pheromone Communication Mechanism for the 0-1 Multidimensional Knapsack Problem

Given a set of n objects, the objective of the 0-1 multidimensional knapsack problem (MKP_01) is to find a subset of the object set that maximizes the total profit of the objects in the subset while satisfying m knapsack constraints. In this paper, we have proposed a new artificial bee colony (ABC)...

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Main Authors: Junzhong Ji, Hongkai Wei, Chunnian Liu, Baocai Yin
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/676275
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spelling doaj-2383527f634e4d32a517feaa788fcc0b2020-11-25T00:34:41ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/676275676275Artificial Bee Colony Algorithm Merged with Pheromone Communication Mechanism for the 0-1 Multidimensional Knapsack ProblemJunzhong Ji0Hongkai Wei1Chunnian Liu2Baocai Yin3College of Computer Science and Technology, Beijing University of Technology, Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing 100124, ChinaCollege of Computer Science and Technology, Beijing University of Technology, Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing 100124, ChinaCollege of Computer Science and Technology, Beijing University of Technology, Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing 100124, ChinaCollege of Computer Science and Technology, Beijing University of Technology, Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing 100124, ChinaGiven a set of n objects, the objective of the 0-1 multidimensional knapsack problem (MKP_01) is to find a subset of the object set that maximizes the total profit of the objects in the subset while satisfying m knapsack constraints. In this paper, we have proposed a new artificial bee colony (ABC) algorithm for the MKP_01. The new ABC algorithm introduces a novel communication mechanism among bees, which bases on the updating and diffusion of inductive pheromone produced by bees. In a number of experiments and comparisons, our approach obtains better quality solutions in shorter time than the ABC algorithm without the mechanism. We have also compared the solution performance of our approach against some stochastic approaches recently reported in the literature. Computational results demonstrate the superiority of the new ABC approach over all the other approaches.http://dx.doi.org/10.1155/2013/676275
collection DOAJ
language English
format Article
sources DOAJ
author Junzhong Ji
Hongkai Wei
Chunnian Liu
Baocai Yin
spellingShingle Junzhong Ji
Hongkai Wei
Chunnian Liu
Baocai Yin
Artificial Bee Colony Algorithm Merged with Pheromone Communication Mechanism for the 0-1 Multidimensional Knapsack Problem
Mathematical Problems in Engineering
author_facet Junzhong Ji
Hongkai Wei
Chunnian Liu
Baocai Yin
author_sort Junzhong Ji
title Artificial Bee Colony Algorithm Merged with Pheromone Communication Mechanism for the 0-1 Multidimensional Knapsack Problem
title_short Artificial Bee Colony Algorithm Merged with Pheromone Communication Mechanism for the 0-1 Multidimensional Knapsack Problem
title_full Artificial Bee Colony Algorithm Merged with Pheromone Communication Mechanism for the 0-1 Multidimensional Knapsack Problem
title_fullStr Artificial Bee Colony Algorithm Merged with Pheromone Communication Mechanism for the 0-1 Multidimensional Knapsack Problem
title_full_unstemmed Artificial Bee Colony Algorithm Merged with Pheromone Communication Mechanism for the 0-1 Multidimensional Knapsack Problem
title_sort artificial bee colony algorithm merged with pheromone communication mechanism for the 0-1 multidimensional knapsack problem
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description Given a set of n objects, the objective of the 0-1 multidimensional knapsack problem (MKP_01) is to find a subset of the object set that maximizes the total profit of the objects in the subset while satisfying m knapsack constraints. In this paper, we have proposed a new artificial bee colony (ABC) algorithm for the MKP_01. The new ABC algorithm introduces a novel communication mechanism among bees, which bases on the updating and diffusion of inductive pheromone produced by bees. In a number of experiments and comparisons, our approach obtains better quality solutions in shorter time than the ABC algorithm without the mechanism. We have also compared the solution performance of our approach against some stochastic approaches recently reported in the literature. Computational results demonstrate the superiority of the new ABC approach over all the other approaches.
url http://dx.doi.org/10.1155/2013/676275
work_keys_str_mv AT junzhongji artificialbeecolonyalgorithmmergedwithpheromonecommunicationmechanismforthe01multidimensionalknapsackproblem
AT hongkaiwei artificialbeecolonyalgorithmmergedwithpheromonecommunicationmechanismforthe01multidimensionalknapsackproblem
AT chunnianliu artificialbeecolonyalgorithmmergedwithpheromonecommunicationmechanismforthe01multidimensionalknapsackproblem
AT baocaiyin artificialbeecolonyalgorithmmergedwithpheromonecommunicationmechanismforthe01multidimensionalknapsackproblem
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