TY - GEN
T1 - Global optimization through randomized group search in contracting regions
AU - Yu, Chao
AU - Srinivasan, Dipti
AU - Wang, Qing Guo
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/14
Y1 - 2016/11/14
N2 - This paper proposes a new method for global optimization through randomized group search in contracting regions. For each iteration, a population is randomly produced within the search region, where the population size is chosen to ensure that the empirical optimum is an estimate of the true optimum within a predefined accuracy with a certain confidence. Fitness values are evaluated at the samples in the population. A very small subset of them with top-ranking fitness values are selected as good points. Neighborhoods of these good points are used to form a new and smaller search region, in which a new population is generated. It is easy to implement the algorithm. Extensive simulation on benchmark problems shows that the proposed method is fast and reasonably accurate.
AB - This paper proposes a new method for global optimization through randomized group search in contracting regions. For each iteration, a population is randomly produced within the search region, where the population size is chosen to ensure that the empirical optimum is an estimate of the true optimum within a predefined accuracy with a certain confidence. Fitness values are evaluated at the samples in the population. A very small subset of them with top-ranking fitness values are selected as good points. Neighborhoods of these good points are used to form a new and smaller search region, in which a new population is generated. It is easy to implement the algorithm. Extensive simulation on benchmark problems shows that the proposed method is fast and reasonably accurate.
UR - http://www.scopus.com/inward/record.url?scp=85008258439&partnerID=8YFLogxK
U2 - 10.1109/CEC.2016.7744144
DO - 10.1109/CEC.2016.7744144
M3 - Conference contribution
AN - SCOPUS:85008258439
T3 - 2016 IEEE Congress on Evolutionary Computation, CEC 2016
SP - 2813
EP - 2820
BT - 2016 IEEE Congress on Evolutionary Computation, CEC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Congress on Evolutionary Computation, CEC 2016
Y2 - 24 July 2016 through 29 July 2016
ER -