A Review on Intelligent Scheduling and Optimization for Flexible Job Shop

B Jiang, Y Ma, L Chen, B Huang, Y Huang… - International Journal of …, 2023 - Springer
Flexible job shop scheduling problem is a NP-hard combinatorial optimization problem,
which has significant applications in the field of workshop scheduling and intelligent …

[PDF][PDF] The effect of corporate governance mechanisms on earnings management in Malaysian manufacturing companies

MA Ahmad, S Abdul Hamid, N Ibrahim… - Asian Economic and …, 2022 - researchgate.net
Many financial crises and scandals have rocked the global economy, including the
bankruptcy of Enron in 2002, and WorldCom in 2004, making financial statement reliability …

[HTML][HTML] A hybrid multi-stage learning technique based on brain storming optimization algorithm for breast cancer recurrence prediction

M Alwohaibi, M Alzaqebah, NM Alotaibi… - Journal of King Saud …, 2022 - Elsevier
Breast cancer disease is considered to be the second leading reason for death among
women. Unfortunately, even if the treatment of cancer started soon after diagnosis, the …

Enhancing software reliability and fault detection using hybrid brainstorm optimization-based LSTM model

L Raamesh, S Jothi, S Radhika - IETE Journal of Research, 2023 - Taylor & Francis
An essential attribute of software quality is software reliability. To achieve higher reliability,
the testing phase with detected and corrected flaws is incorporated in the software …

A hybrid search using genetic algorithms and random-restart hill-climbing for flexible job shop scheduling instances with high flexibility

NJ Escamilla-Serna, JC Seck-Tuoh-Mora… - Applied Sciences, 2022 - mdpi.com
This work presents a novel hybrid algorithm called GA-RRHC based on genetic algorithms
(GAs) and a random-restart hill-climbing (RRHC) algorithm for the optimization of the flexible …

A brain storm and chaotic accelerated particle swarm optimization hybridization

A Michaloglou, NL Tsitsas - Algorithms, 2023 - mdpi.com
Brain storm optimization (BSO) and particle swarm optimization (PSO) are two popular
nature-inspired optimization algorithms, with BSO being the more recently developed one. It …

Improved multi-verse optimizer feature selection technique with application to phishing, spam, and denial of service attacks

M Alzaqebah, S Jawarneh… - International …, 2021 - search.proquest.com
Intelligent classification systems proved their merits in different fields including cybersecurity.
However, most cybercrime issues are characterized of being dynamic and not static …

Past five years on strategies and applications in hybrid brain storm optimization algorithms: a review

D Simić, Z Banković, JR Villar… - Logic Journal of the …, 2024 - academic.oup.com
Optimization, in general, is regarded as the process of finding optimal values for the
variables of a given problem in order to minimize or maximize one or more objective function …

A Hybrid Brain Storm Optimization Algorithm to Solve the Emergency Relief Routing Model

X Wang, J Zhou, X Yu, X Yu - Sustainability, 2023 - mdpi.com
Due to the inappropriate or untimely distribution of post-disaster goods, many regions did
not receive timely and efficient relief for infected people in the coronavirus disease outbreak …

Modified SEIR and machine learning prediction of the trend of the epidemic of COVID-19 in Jordan under lockdowns impact

MK Alsmadi - International Journal of Electrical and Computer …, 2022 - search.proquest.com
Susceptible exposed infectious recovered (SEIR) is a fitting model for coronavirus disease
(COVID-19) spread prediction. Hence, to examine the effect of different levels of social …