Iterated greedy algorithms for flow-shop scheduling problems: A tutorial
ZY Zhao, MC Zhou, SX Liu - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely
used to solve flow-shop scheduling problems (FSPs), an important branch of production …
used to solve flow-shop scheduling problems (FSPs), an important branch of production …
A comprehensive survey: artificial bee colony (ABC) algorithm and applications
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …
self-organized swarms. The well known examples for these swarms are bird flocks, fish …
Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem
Distributed permutation flowshop scheduling problem (DPFSP) has become a very active
research area in recent years. However, minimizing total flowtime in DPFSP, a very relevant …
research area in recent years. However, minimizing total flowtime in DPFSP, a very relevant …
Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times
The distributed permutation flowshop scheduling problem (DPFSP) has been a hot issue in
recent years. Due to the practical relevance of sequence-dependent setup time (SDST), we …
recent years. Due to the practical relevance of sequence-dependent setup time (SDST), we …
A novel artificial bee colony algorithm based on modified search equation and orthogonal learning
W Gao, S Liu, L Huang - IEEE Transactions on Cybernetics, 2013 - ieeexplore.ieee.org
The artificial bee colony (ABC) algorithm is a relatively new optimization technique which
has been shown to be competitive to other population-based algorithms. However, ABC has …
has been shown to be competitive to other population-based algorithms. However, ABC has …
On clarifying misconceptions when comparing variants of the artificial bee colony algorithm by offering a new implementation
Abstract Artificial Bee Colony (ABC) is a Swarm Intelligence algorithm that has obtained
meta-heuristic researchers' attention and favor over recent years. It comprises good balance …
meta-heuristic researchers' attention and favor over recent years. It comprises good balance …
Multi-strategy ensemble artificial bee colony algorithm
Artificial bee colony (ABC) is a recently proposed optimization technique which has shown
to be competitive to other population-based stochastic algorithms. However, ABC is good at …
to be competitive to other population-based stochastic algorithms. However, ABC is good at …
A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
The hybrid flowshop scheduling problem (HFSP) has been widely studied in the past
decades. The most commonly used criterion is production efficiency. Green criteria, such as …
decades. The most commonly used criterion is production efficiency. Green criteria, such as …
A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems
A blocking lot-streaming flow shop (BLSFS) scheduling problem is to schedule a number of
jobs on more than one machine, where each job is split into a number of sublots while no …
jobs on more than one machine, where each job is split into a number of sublots while no …
A new metaheuristic algorithm based on shark smell optimization
In this article, a new metaheuristic optimization algorithm is introduced. This algorithm is
based on the ability of shark, as a superior hunter in the nature, for finding prey, which is …
based on the ability of shark, as a superior hunter in the nature, for finding prey, which is …