Advances in sine cosine algorithm: a comprehensive survey
L Abualigah, A Diabat - Artificial Intelligence Review, 2021 - Springer
Abstract The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …
A systematic literature review on energy-efficient hybrid flow shop scheduling
DM Utama, MD Primayesti, SZ Umamy… - Cogent …, 2023 - Taylor & Francis
Scheduling problems should not only focus on minimizing completion time, but other
performances, such as minimizing energy consumption, are urgent to investigate. Many …
performances, such as minimizing energy consumption, are urgent to investigate. Many …
A new hybrid whale optimization algorithm for green vehicle routing problem
In recent years, issues on global warming and climate change have received public
attention. One of the causes of this problem is carbon emissions in the transportation sector …
attention. One of the causes of this problem is carbon emissions in the transportation sector …
A new hybrid butterfly optimization algorithm for green vehicle routing problem
In the industrial sector, transportation plays an essential role in distribution. This activity
impacts climate change and global warming. One of the critical problems in distribution is …
impacts climate change and global warming. One of the critical problems in distribution is …
[HTML][HTML] A novel hybrid Aquila optimizer for energy-efficient hybrid flow shop scheduling
DM Utama, MD Primayesti - Results in Control and Optimization, 2022 - Elsevier
The global energy demand increases, giving rise to concerns about fuel scarcity and
environmental damage. In addition, world energy consumption rises as a result of …
environmental damage. In addition, world energy consumption rises as a result of …
An energy-efficient flow shop scheduling using hybrid Harris hawks optimization
The energy crisis has become an environmental problem, and this has received much
attention from researchers. The manufacturing sector is the most significant contributor to …
attention from researchers. The manufacturing sector is the most significant contributor to …
The hybrid whale optimization algorithm: A new metaheuristic algorithm for energy-efficient on flow shop with dependent sequence setup
Recently, The industrial sector produces about half of the worlds total energy consumption.
Manufacturing companies are required to reduce energy consumption. This article aims to …
Manufacturing companies are required to reduce energy consumption. This article aims to …
AVOA and ALO Algorithm for energy-efficient no-idle permutation flow shop scheduling problem: a comparison study
YM Risma, DM Utama - Jurnal Optimasi Sistem Industri, 2023 - josi.ft.unand.ac.id
Global energy consumption is a pressing issue and is predicted to continue increasing
between 2010 and 2040. Among the various sectors, the industrial sector, particularly …
between 2010 and 2040. Among the various sectors, the industrial sector, particularly …
[PDF][PDF] An effective hybrid ant lion algorithm to minimize mean tardiness on permutation flow shop scheduling problem
Scheduling is the process of delegating tasks to a machine for accomplishment [1], and one
of the challenges usually observed is the permutation flow shop problem (PFSP). This is …
of the challenges usually observed is the permutation flow shop problem (PFSP). This is …
The hybrid ant lion optimization flow shop scheduling problem for minimizing completion time
This article aims to develop the Ant Lion Optimization (ALO) algorithm for the Permutation
Flow Shop Scheduling Problem (PFSP). We use the objective function to minimize …
Flow Shop Scheduling Problem (PFSP). We use the objective function to minimize …