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篇名
Applications of an Improved PSO in Integer Linear Programming
並列篇名
Applications of an Improved PSO in Integer Linear Programming
作者 Ying Wang (Ying Wang)
英文摘要
In order to address the problems with production planning for Model Q cars and Model X new energy cars of an automotive group, a mathematical model is proposed, which is intended for a constrained integer linear programming problem. An AI algorithm, i.e. PSO, is introduced to solve this problem, while such methods as penalty function are used to solve the constraint conditions and integer programming problem. Furthermore, in order to overcome the challenge that the standard PSO is very likely to meet a local extremum, an improved PSO is proposed, which, as shown in terms of search computing results, is more accurate and efficient than the standard PSO, thus aptly solving the integer linear programming problem.
起訖頁 098-106
關鍵詞 improved PSOinteger programmingpenalty functionstochastic solution
刊名 電腦學刊  
期數 202112 (32:6期)
該期刊-上一篇 A Novel Sub-Iterative Parallel Skeletonization Method
該期刊-下一篇 A Survey: Object Feature Analysis Based on Non-negative Matrix Factorization
 

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