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Chaotic migration-based pseudo parallel genetic algorithm and its application in inventory optimization 认领 引用 被引量：1
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作者 ChenXiaofang GuiWeihua WangYalin 《Journal of Systems Engineering and Electronics》 2005年第2期411-417,共7页
Considering premature convergence in the searching process of genetic algorithm, a chaotic migration-based pseudo parallel genetic algorithm (CMPPGA) is proposed, which applies the idea of isolated evolution and infor... Considering premature convergence in the searching process of genetic algorithm, a chaotic migration-based pseudo parallel genetic algorithm (CMPPGA) is proposed, which applies the idea of isolated evolution and information exchanging in distributed Parallel Genetic Algorithm by serial program structure to solve optimization problem of low real-time demand. In this algorithm, asynchronic migration of individuals during parallel evolution is guided by a chaotic migration sequence. Information exchanging among sub-populations is ensured to be efficient and sufficient due to that the sequence is ergodic and stochastic. Simulation study of CMPPGA shows its strong global search ability, superiority to standard genetic algorithm and high immunity against premature convergence. According to the practice of raw material supply, an inventory programming model is set up and solved by CMPPGA with satisfactory results returned. 展开更多
关键词 parallel genetic algorithm chaos premature convergence inventory optimization.
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Two-warehouse inventory and pricing model for deteriorating items under carbon tax policy 认领 引用
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作者 Yuanzhe Li Wensi Zhang +1 位作者 Xiaolong Guo Ning Zhang 《Journal of University of Science and Technology of China》 CAS CSCD 北大核心 2025年第11期25-38,I0001,共14页
If the capacity of its owned warehouse is limited for a firm,then the usual practice is to rent a warehouse for storing items in excess of the capacity of its owned warehouse.This study investigates a two-warehouse pr... If the capacity of its owned warehouse is limited for a firm,then the usual practice is to rent a warehouse for storing items in excess of the capacity of its owned warehouse.This study investigates a two-warehouse pricing and inventory problem for a deteriorating item supply chain under the carbon tax policy.The main sources of carbon emissions include transportation,storage,and disposal of deteriorated products.Decision models for maximizing profits for retailers and suppliers are separately developed,and the existence and uniqueness of the optimal solution for this complex problem are proven through mathematical analysis.The simulation results demonstrate that compared with a purely economic model that disregards carbon emissions,the proposed model achieves high profits while reducing carbon emissions.An increase in the carbon tax can effectively curb the overall carbon emissions of the supply chain.However,such an increase will also significantly increase the operating costs of supply chain enterprises,resulting in the contraction of the terminal market and economic benefit losses.Finally,reducing carbon emissions from storage not only boosts corporate profitability but also effectively mitigates emissions,thereby contributing to sustainable development. 展开更多
关键词 deteriorating items two-warehouse inventory carbon tax policy joint optimization of inventory and pricing
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