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Explainable artificial intelligence by genetic programming: A survey
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 …
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
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 …
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
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 …
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 …
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
Dynamic flexible job-shop scheduling (DFJSS) is a challenging combinational optimization
problem that takes the dynamic environment into account. Genetic programming …
problem that takes the dynamic environment into account. Genetic programming …
A strengthened dominance relation considering convergence and diversity for evolutionary many-objective optimization
Both convergence and diversity are crucial to evolutionary many-objective optimization,
whereas most existing dominance relations show poor performance in balancing them, thus …
whereas most existing dominance relations show poor performance in balancing them, thus …
A survey on evolutionary machine learning
Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …
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
Notwithstanding its disruptive potential, which has been the object of considerable debate,
Industry4. 0 (I4. 0) operationalisation still needs significant study. Specifically, scheduling is …
Industry4. 0 (I4. 0) operationalisation still needs significant study. Specifically, scheduling is …
Arja: Automated repair of java programs via multi-objective genetic programming
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 …
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
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 …
application in manufacturing and production industry, transportation, workforce allocation, or …