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Chaos-driven Discrete Artificial Bee Colony
2014 IEEE Congress on Evolutionary Computation (CEC), 2014In this paper, a chaos driven Discrete Artificial Bee Algorithm is introduced. The main premise of this work is to ascertain if using chaos maps in lieu of standard pseudorandom number generators can improve the performance of the canonical algorithm.
Magdalena Metlicka, Donald Davendra
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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 for multiple Knapsack problem
International Journal of Reasoning-based Intelligent Systems, 2013Multiple Knapsack problem (MKP) is a most popular multiple subset selection problem that belongs to the class of NP–Complete problems. The aim is to assign optimal subsets among all original items to some knapsacks, such that the overall profit of all selected items be maximised, while the total weight of all assigned items to any knapsack does not ...
Shima Sabet +2 more
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Alignment of biological sequences by discrete Artificial Bee Colony algorithm
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015Multiple Sequence Alignment (MSA) problem based on aligning three or more biological sequences by considering the maximization of similarity is one of the most important problem in bioinformatics. In this paper, a new Artificial Bee Colony (ABC) algorithm inspired by the intelligent foraging behavior of honey bees is proposed to generate optimum ...
Selcuk Aslan, Celal Öztürk
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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 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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Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems
International Journal of Applied Metaheuristic Computing, 2011Nature-inspired methods are used in various fields for solving a number of problems. This study uses a nature-inspired method, artificial bee colony optimization that is based on the foraging behaviour of bees, for a financial classification problem.
Yannis Marinakis +3 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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A Discrete Artificial Bee Colony Algorithm for TSP Problem
2012In this paper, a new discrete artificial bee colony algorithm is used to solve the symmetric traveling salesman problem (TSP). The concept of Swap Operator has been introduced to the original artificial bee colony (ABC) algorithm which can help the bees to generate a better candidate tour by greedy selection.
Li Li 0004 +3 more
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