Explainable artificial intelligence by genetic programming: A survey

Y Mei, Q Chen, A Lensen, B Xue… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Explainable artificial intelligence (XAI) has received great interest in the recent decade, due
to its importance in critical application domains, such as self-driving cars, law, and …

[HTML][HTML] A survey of scheduling with parallel batch (p-batch) processing

JW Fowler, L Mönch - European journal of operational research, 2022 - Elsevier
Multiple jobs are processed simultaneously on a given batch processing machine in parallel
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …

Survey on genetic programming and machine learning techniques for heuristic design in job shop scheduling

F Zhang, Y Mei, S Nguyen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Job shop scheduling (JSS) is a process of optimizing the use of limited resources to improve
the production efficiency. JSS has a wide range of applications, such as order picking in the …

Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization

O Ogunfowora, H Najjaran - Journal of Manufacturing Systems, 2023 - Elsevier
Abstract Systems and machines undergo various failure modes that result in machine health
degradation, so maintenance actions are required to restore them back to a state where they …

Evolving scheduling heuristics via genetic programming with feature selection in dynamic flexible job-shop scheduling

F Zhang, Y Mei, S Nguyen… - ieee transactions on …, 2020 - ieeexplore.ieee.org
Dynamic flexible job-shop scheduling (DFJSS) is a challenging combinational optimization
problem that takes the dynamic environment into account. Genetic programming …

A strengthened dominance relation considering convergence and diversity for evolutionary many-objective optimization

Y Tian, R Cheng, X Zhang, Y Su… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Both convergence and diversity are crucial to evolutionary many-objective optimization,
whereas most existing dominance relations show poor performance in balancing them, thus …

A survey on evolutionary machine learning

H Al-Sahaf, Y Bi, Q Chen, A Lensen, Y Mei… - Journal of the Royal …, 2019 - Taylor & Francis
Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …

Production scheduling in the context of Industry 4.0: review and trends

M Parente, G Figueira, P Amorim… - International Journal of …, 2020 - Taylor & Francis
Notwithstanding its disruptive potential, which has been the object of considerable debate,
Industry4. 0 (I4. 0) operationalisation still needs significant study. Specifically, scheduling is …

Arja: Automated repair of java programs via multi-objective genetic programming

Y Yuan, W Banzhaf - IEEE Transactions on software …, 2018 - ieeexplore.ieee.org
Automated program repair is the problem of automatically fixing bugs in programs in order to
significantly reduce the debugging costs and improve the software quality. To address this …

Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey

M Ɖurasević, D Jakobović - Artificial Intelligence Review, 2023 - Springer
Scheduling has an immense effect on various areas of human lives, be it though its
application in manufacturing and production industry, transportation, workforce allocation, or …