Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling
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IEEE
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http://xplorestaging.ieee.org/ielx7/9659537/9659538/09660091.pdf?arnumber=9660091
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1. Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming
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3. Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling
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1. Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling;Genetic Programming and Evolvable Machines;2024-01-25
2. Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12
3. A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling;2022 IEEE Symposium Series on Computational Intelligence (SSCI);2022-12-04
4. Graph-based linear genetic programming;Proceedings of the Genetic and Evolutionary Computation Conference;2022-07-08
5. Task Relatedness Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling;IEEE Transactions on Evolutionary Computation;2022
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