TY - GEN
T1 - A novel binary differential evolution algorithm for a class of fuzzy-stochastic resource allocation problems
AU - Fan, Gui Mei
AU - Huang, Hai Jun
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/4
Y1 - 2017/8/4
N2 - This paper studies a class of fuzzy-stochastic resource-allocation (fSRA) problems which involve both subjective and objective uncertainty (i.e., fuzziness and randomness). In the FSRA, the capability of a resource to complete a task is characterized by a probability parameter which is uncertain and stochastic while the reward of a task is expressed as a fuzzy number. The FSRA problem is formulated under a robust optimization model and an expected-value model, respectively. Then, a binary differential evolution (BDE) algorithm with new operators is proposed to solve the formulated FSRA problems. A specific and efficient constraint handling technique is also proposed and incorporated into BDE to guarantee the generation of feasible solutions. Comparative computational experiments validate the effectiveness and advantages of the proposed BDE.
AB - This paper studies a class of fuzzy-stochastic resource-allocation (fSRA) problems which involve both subjective and objective uncertainty (i.e., fuzziness and randomness). In the FSRA, the capability of a resource to complete a task is characterized by a probability parameter which is uncertain and stochastic while the reward of a task is expressed as a fuzzy number. The FSRA problem is formulated under a robust optimization model and an expected-value model, respectively. Then, a binary differential evolution (BDE) algorithm with new operators is proposed to solve the formulated FSRA problems. A specific and efficient constraint handling technique is also proposed and incorporated into BDE to guarantee the generation of feasible solutions. Comparative computational experiments validate the effectiveness and advantages of the proposed BDE.
UR - https://www.scopus.com/pages/publications/85029899217
U2 - 10.1109/ICCA.2017.8003119
DO - 10.1109/ICCA.2017.8003119
M3 - 会议稿件
AN - SCOPUS:85029899217
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 548
EP - 553
BT - 2017 13th IEEE International Conference on Control and Automation, ICCA 2017
PB - IEEE Computer Society
T2 - 13th IEEE International Conference on Control and Automation, ICCA 2017
Y2 - 3 July 2017 through 6 July 2017
ER -