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In this paper, we present a discrete artificial bee colony algorithm to solve the no-idle permutation flowshop scheduling problem with the total tardiness criterion.
M Fatih Tasgetiren +2 more
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Improved Discrete Artificial Bee Colony Algorithm
2020Grain is an important economic and strategic material of the country. In grain transportation, it is necessary to consider the running time, vehicle number, path length and other factors at the same time, which is a typical multi-objective problem, but also a NP-Hard problem.
Wanying Liang +5 more
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A Discrete Artificial Bees Colony Inspired Biclustering Algorithm
International Journal of Swarm Intelligence Research, 2012Biclustering methods are the potential data mining technique that has been suggested to identify local patterns in the data. Biclustering algorithms are used for mining the web usage data which can determine a group of users which are correlated under a subset of pages of a web site.
R. Rathipriya 0001, K. Thangavel
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A discrete artificial bee colony algorithm for the multi-objective redistricting problem
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012In this paper, the performance of two classical algorithms (simulated annealing and a discrete artificial bee colony) are compared on the redistricting problem, using a real example in Mexico and highlighting the superiority of the latter.
Eric Alfredo Rincón García +5 more
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A Discrete Artificial Bee Colony Algorithm for Permutation Flow Shop Scheduling
2016 9th International Symposium on Computational Intelligence and Design (ISCID), 2016A discrete artificial bee colony algorithm (DABC) is proposed for solving the permutation flow shop scheduling problem (PFSSP) with minimum makespan criterion. Firstly, the NEH heuristic was combined the random initialization to the population for quality and diversity.
Ying Liu +3 more
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Application of discrete artificial bee colony algorithm for cloud task optimization scheduling
International Journal of Modeling, Simulation, and Scientific Computing, 2020The performance of task scheduling algorithm in cloud computing determines the performance of the cloud system. This study mainly analyzed the application of the artificial bee colony (ABC) algorithm in the cloud task scheduling. In order to solve the problem of cloud task scheduling, the ABC algorithm was discretized to get the discrete artificial ...
Shuai Man, Rongjie Yang
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This paper presents a novel discrete artificial bee colony (DABC) algorithm for solving the multi-objective flexible job shop scheduling problem with maintenance activities.
Junqing Li +2 more
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A Discrete Artificial Bee Colony Algorithm Based on Similarity for Graph Coloring Problems
2016In this paper, a novel non-hybrid discrete artificial bee colony (ABC) algorithm is proposed for solving planar graph coloring problems. The original ABC intends to handle only continuous optimization problems. To apply ABC to discrete problems, the original ABC operators need to be redefined over discrete space.
Kui Chen, Hitoshi Kanoh
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Chaotic Artificial Bee Colony Hybrid Discrete Constrained Optimization Algorithm
Journal of Convergence Information Technology, 2012Swarm intelligence is a research branch that models the population of interacting agents or swarms that are able to self-organize. An ant colony, a flock of birds or an immune system is a typical example of a swarm system. Bees’ swarming around their hive is another example of swarm intelligence.
Youxin LUO - +2 more
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An efficient discrete artificial bee colony algorithm for total flowtime lot-streaming flowshop
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012The lot-streaming flow shop scheduling problem has important applications in modern industry. This paper considers an n-job m-machine lot-streaming flow shop scheduling problem where the objective is to minimize the total flowtime. To solve this problem, a new discrete artificial bee colony (DABC) algorithm is proposed.
Hong-yan Sang, Jun-Hua Duan
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