Results 51 to 60 of about 5,945 (347)

Flexible job shop scheduling using genetic algorithm and heuristic rules

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing, 2016
Job shop scheduling with the availability of more than one machine to perform an operation, also known as the flexible job shop scheduling problem, is computationally NP-hard.
Parinya KAWEEGITBUNDIT, Toru EGUCHI
doaj   +1 more source

The skills required for transition to university and study in biological sciences: A student perspective

open access: yesFEBS Open Bio, EarlyView.
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley   +1 more source

Multi-Objective Flexible Job Shop Scheduling Using Genetic Algorithms

open access: yes, 2022
Flexible Job Shop Scheduling is an important problem in the fields of combinatorial optimization and production management. This research addresses multi-objective flexible job shop scheduling problem with the objective of simultaneous minimization of ...
Elbadawi, Isam A-Q   +5 more
core   +1 more source

An application of immune genetic algorithm for flexible job-shop scheduling problem

open access: yes, 2010
The flexible job-shop scheduling problem (FJSP) is one of the most general and difficult of all traditional scheduling problem. The paper presents a novelty immune genetic algorithm (IGA) to solve the problem.
null Yunlong Zhu   +5 more
core   +1 more source

Flexible job-shop scheduling with transportation resources

open access: yesEuropean Journal of Operational Research
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Berterottière, Lucas   +2 more
openaire   +3 more sources

Versatile vector tools for efficient protein screening across multiple expression systems

open access: yesFEBS Open Bio, EarlyView.
A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu   +5 more
wiley   +1 more source

Flexible job‐shop scheduling problem by genetic algorithm

open access: yesElectrical Engineering in Japan, 2009
AbstractThe Flexible Job‐shop Scheduling Problem is an expansion of the traditional Job‐shop Scheduling Problem in which an operation can be processed by one or more machines. The purpose of this problem is to look for the smallest makespan. For that purpose, it is necessary to decide the optimal assignment of machines to operations and the order of ...
Ida, Kenichi, Oka, Kensaku
openaire   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Developing a Multiobjective Optimization Scheduling System for a Screw Manufacturer: A Refined Genetic Algorithm Approach

open access: yesIEEE Access, 2014
Over time, the traditional single-objective job shop scheduling method has grown increasingly incapable of meeting the requirements of contemporary business models; thus, a multiobjective scheduling solution is required.
Tung-Kuan Liu   +2 more
doaj   +1 more source

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