Title :
Using dual-gene variation hybrid evolution strategy to construct fire emergency decision-making model
Author :
Xie, Hongwei ; Zhang, Li
Author_Institution :
Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
The time parameter about emergency decision-making problems is the primary optimizational object. Evolutionary strategy (ES) can solve the problems of continuous parameter optimization, and is an effective way of solving complex optimizational problems. Therefore, in the paper dual-gene variation hybrid evolution strategy algorithm (μ +λ +κ ) - ES is used to construct the fire emergency decision-making model, in order to solve parameter optimizational problems. At the same time, the convergence speed of dual-gene variation hybrid evolution strategy algorithm is verified.
Keywords :
decision theory; emergency services; evolutionary computation; optimisation; complex optimizational problems; continuous parameter optimization; dual gene variation hybrid evolution strategy; fire emergency decision making model; time parameter; Algorithm design and analysis; Computational modeling; Convergence; Decision making; Design optimization; Educational institutions; Evolutionary computation; Fires; Genetic mutations; Software; dual-gene variation hybrid evolution strategy algorithm; fire emergency decision-making model;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487295
