Computing with the collective intelligence of honey bees–a survey
A Rajasekhar, N Lynn, S Das, PN Suganthan - Swarm and Evolutionary …, 2017 - Elsevier
Over past few decades, families of algorithms based on the intelligent group behaviors of
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …
A cooperative memetic algorithm with learning-based agent for energy-aware distributed hybrid flow-shop scheduling
With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, distributed manufacturing …
manufacturing has attracted growing attention. Meanwhile, distributed manufacturing …
Efficiency of the solution representations for the hybrid flow shop scheduling problem with makespan objective
V Fernandez-Viagas, P Perez-Gonzalez… - Computers & Operations …, 2019 - Elsevier
In this paper we address the classical hybrid flow shop scheduling problem with makespan
objective. As this problem is known to be NP-hard and a very common layout in real-life …
objective. As this problem is known to be NP-hard and a very common layout in real-life …
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 …
Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions
This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …
An improved iterated greedy algorithm for the distributed hybrid flowshop scheduling problem
C Lu, J Zheng, L Yin, R Wang - Engineering Optimization, 2024 - Taylor & Francis
This study attempts to solve the distributed hybrid flowshop scheduling problem (DHFSP)
with the makespan criterion. First, a mixed-integer linear programming model for the DHFSP …
with the makespan criterion. First, a mixed-integer linear programming model for the DHFSP …
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 …
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem
With the continuous development of national economies, problems of various energy
consumption levels and pollution emissions in manufacturing have attracted attention from …
consumption levels and pollution emissions in manufacturing have attracted attention from …
A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints
The hybrid flow shop and distributed flow shop problems have been extensively studied due
to their wide industrial applications. However, the distributed heterogeneous hybrid flow …
to their wide industrial applications. However, the distributed heterogeneous hybrid flow …
An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times
The distributed manufacturing mode which is widely used in the modern manufacturing
system often contains the different status of different workshops, called as the …
system often contains the different status of different workshops, called as the …