[1]XIAO Ning,ZENG Jian-chao.An efficient algorithm for solving stochastic expected value models[J].CAAI Transactions on Intelligent Systems,2008,3(3):279-282.
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An efficient algorithm for solving stochastic expected value models
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
3
Number of periods:
2008 3
Page number:
279-282
Column:
学术论文—人工智能基础
Public date:
2008-06-25
- Title:
- An efficient algorithm for solving stochastic expected value models
- Keywords:
- stochastic programming; stochastic expected value models; particle swarm optimization; random simulation
- CLC:
- 0221.5
- DOI:
- -
- Abstract:
- The stochastic expected value model is a class of stochastic programming problems with wide applicability.In order to find a more effective algorithm for solving these problems,we used random simulations to approach the stochastic function in particle swarm optimization,obtaining an estimation of the degree of fitness and verifying the feasibility of the solution.Finally,results of simulations show the correctness and effectiveness of this algorithm.
- References:
-
[1] 陈淑燕,王炜,郑长江. 基于模拟退火求解的一种新的随机存储规划模型[J]公路交通科技, 2005,(04) .
?[2] 彭锦,刘宝碇. 不确定规划的研究现状及其发展前景[J]运筹与管理, 2002,(02) .
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Last Update:
2009-05-14