Results 161 to 170 of about 1,679 (197)

A discrete artificial bee colony algorithm for single machine scheduling problems

International Journal of Production Research, 2016
This paper presents a discrete artificial bee colony algorithm for a single machine earliness–tardiness scheduling problem. The objective of single machine earliness–tardiness scheduling problems is to find a job sequence that minimises the total sum of earliness–tardiness penalties. Artificial bee colony (ABC) algorithm is a swarm-based meta-heuristic,
Erdal Emel
exaly   +4 more sources

Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems

International Journal of Applied Metaheuristic Computing, 2011
Nature-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, Magdalene Marinaki, Nikolaos F. Matsatsinis, Constantin Zopounidis   +3 more
core   +3 more sources

Alignment of biological sequences by discrete Artificial Bee Colony algorithm

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Multiple 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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BABC: A Binary Version of Artificial Bee Colony Algorithm for Discrete Optimization [PDF]

International Journal of Advancements in Computing Technology, 2012
The Artificial Bee Colony (ABC) algorithm recently gained high popularity by providing a robust and efficient approach for solving continuous optimization problems. In order to apply ABC in discrete landscape, a binary version of artificial bee colony (BABC) algorithm is proposed in this manuscript.
Liu Wei -, Chen Hanning -
openaire   +2 more sources

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A hybrid discrete artificial bee colony algorithm for permutation flowshop scheduling problem

Applied Soft Computing Journal, 2013
To minimize the makespan in permutation flowshop scheduling problems, a hybrid discrete artificial bee colony (HDABC) algorithm is presented. In the HDABC, each solution to the problem is called a food source and represented by a discrete job permutation.
San-Yang Liu
exaly   +2 more sources

A discrete artificial bee colony algorithm for the distributed heterogeneous no-wait flowshop scheduling problem

Applied Soft Computing Journal, 2021
Abstract With the development of globalization, distributed manufacturing has become one of the main modes of manufacturing. The situation in which a number of heterogeneous factories coproduce a batch of jobs is ubiquitous in the field of distributed manufacturing.
Liang Gao
exaly   +2 more sources

To bee or not to bee—comments on “Discrete optimum design of truss structures using artificial bee colony algorithm” [PDF]

Structural and Multidisciplinary Optimization, 2011
An Artificial Bee Colony algorithm was presented by Sonmez (Struct Multidisc Optim 43:85---97, 2011) for solving discrete truss design problems. It was numerically tested on four benchmark examples and concluded to be robust and efficient. We compare the Artificial Bee Colony algorithm numerically to three alternative heuristics on the same benchmark ...
Sönmez, Mustafa, Stolpe, Mathias, Mustafa Sonmez, Mathias Stolpe   +3 more
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Dynamic clustering with improved binary artificial bee colony algorithm

Applied Soft Computing Journal, 2015
One of the most well-known binary (discrete) versions of the artificial bee colony algorithm is the similarity measure based discrete artificial bee colony, which was first proposed to deal with the uncapacited facility location (UFLP) problem.
Celal ÖZTÜRK, Emrah Hançer, Dervis Karaboga   +2 more
exaly   +2 more sources

A discrete artificial bee colony algorithm for quadratic assignment problem

Journal of High Speed Networks, 2022
The quadratic assignment problem (QAP) is a well-known challenging combinational optimization problem that has received many researchers’ attention with varied real-world and industrial applications areas. Using the framework of basic artificial bee colony algorithm, frequently used crossover and mutation operators, and combined with an effective local
Zhong-yuan Peng, Yun-ji Huang, Yu-bin Zhong   +2 more
openaire   +1 more source

Multi-objective fuzzy disassembly line balancing using a hybrid discrete artificial bee colony algorithm

Journal of Manufacturing Systems, 2015
This paper presents a fuzzy extension of the disassembly line balancing problem (DLBP) with fuzzy task processing times since uncertainty is the main character of real-world disassembly systems.
Can B Kalayci, Askiner Güngör, Surendra M Gupta   +2 more
exaly   +2 more sources