[HTML][HTML] Digitally enabled approaches for the scale up of mammalian cell bioreactors
MK Alavijeh, I Baker, YY Lee, SL Gras - Digital Chemical Engineering, 2022 - Elsevier
With recent advances in digitisation and big data analytics, more pharmaceutical firms are
adopting digital tools to achieve modernisation. The biological phenomena within …
adopting digital tools to achieve modernisation. The biological phenomena within …
Comprehensive review of models and methods for inferences in bio-chemical reaction networks
The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …
chemical reactions. From molecular biology to biotechnology applications, computational …
An improved emperor penguin optimization based multilevel thresholding for color image segmentation
Z Xing - Knowledge-Based Systems, 2020 - Elsevier
This paper proposes a multi-threshold image segmentation method based on improved
emperor penguin optimization (EPO). The calculation complexity of multi-thresholds …
emperor penguin optimization (EPO). The calculation complexity of multi-thresholds …
A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles
Increasing energy shortages and environmental pollution have made energy efficiency an
urgent concern in manufacturing plants. Most studies looking into sustainable production in …
urgent concern in manufacturing plants. Most studies looking into sustainable production in …
A discrete multi-objective fireworks algorithm for flowshop scheduling with sequence-dependent setup times
Multi-objective flow shop scheduling problem with sequence-dependent setup times
(MOFSP-SDST) is a class of important production scheduling problem with strong industry …
(MOFSP-SDST) is a class of important production scheduling problem with strong industry …
Optimising the job-shop scheduling problem using a multi-objective Jaya algorithm
This paper presents an effective multi-objective Jaya (EMOJaya) algorithm to solve a multi-
objective job-shop scheduling problem, aiming to simultaneously minimise the makespan …
objective job-shop scheduling problem, aiming to simultaneously minimise the makespan …
Hybrid scatter search algorithm for optimal and energy-efficient steelmaking-continuous casting
This article studies a steelmaking-continuous casting (SCC) scheduling problem by
considering ladle allocation. It takes technological rules in steel manufacturing and ladle …
considering ladle allocation. It takes technological rules in steel manufacturing and ladle …
Enhanced moth-flame optimizer with quasi-reflection and refraction learning with application to image segmentation and medical diagnosis
J Xia, Z Cai, AA Heidari, Y Ye, H Chen… - Current …, 2023 - ingentaconnect.com
Background: Moth-flame optimization will meet the premature and stagnation phenomenon
when encountering difficult optimization tasks. Objective: This paper presented a quasi …
when encountering difficult optimization tasks. Objective: This paper presented a quasi …
Backtracking search algorithm with dynamic population for energy consumption problem of a UAV-assisted IoT data collection system
In recent years, collecting data from IoT devices by unmanned aerial vehicles (UAVs) has
become a very hot research topic. This paper focuses on the energy consumption problem …
become a very hot research topic. This paper focuses on the energy consumption problem …
A comprehensive review on scatter search: techniques, applications, and challenges
Recent years have witnessed the use of metaheuristic algorithms to solve the optimization
problems that usually require extensive computations and time. Among others, scatter …
problems that usually require extensive computations and time. Among others, scatter …