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To address the issue of excessive hardware overhead that arises when mapping binary decision diagrams（BDD）to memristor crossbar arrays within path-based memristive logic computing frameworks，a memristive logic synthesis framework based on BDD reordering optimization is proposed.The framework pioneers the application of the adaptive restart genetic algorithm（ARGA）to BDD variable order optimization，which generates BDD structures more suitable for mapping to memristor crossbar arrays，while its built-in adaptive restart mechanism ensures the efficiency of this optimization process which further optimizes the number of rows and columns in the mapped crossbar array，thereby effectively reducing hardware area.Evaluations were conducted on 17 benchmark circuits，and the experimental results show that compared with the original memristive logic framework，the proposed method reduces crossbar area by 15%，operation energy consumption by 26%，and latency by 12%.Moreover，in comparison with other memristive logic frameworks such as COMPACT and CONTRA，the proposed method reduces operation energy consumption by 3 and 4 orders of magnitude respectively，and decreases latency by 80%and 97%，respectively.Through the collaborative optimization of BDD structures and memristor array mapping constraints，this research provides an effective approach to enhance the synthesis efficiency of memristive logic circuits.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
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| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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