Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling

Research article (IEEE Access, 2020) · cited 30× · AI/ML
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Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling

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Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling. Retrieved May 24, 2026, from https://4ort.xyz/entity/improved-genetic-algorithm-approach-based-on-new-virtual-crossover-operators-for-dynamic-job-shop-scheduling
MLA “Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improved-genetic-algorithm-approach-based-on-new-virtual-crossover-operators-for-dynamic-job-shop-scheduling.
BibTeX @misc{4ortxyz_improved-genetic-algorithm-approach-based-on-new-virtual-crossover-operators-for-dynamic-job-shop-scheduling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improved Genetic Algorithm Approach Based on New Virtual Crossover Operators for Dynamic Job Shop Scheduling}}, year = {2026}, url = {https://4ort.xyz/entity/improved-genetic-algorithm-approach-based-on-new-virtual-crossover-operators-for-dynamic-job-shop-scheduling}, note = {Accessed: 2026-05-24}}
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