supported in part by National Natural Science Foundation of China(Nos.61563009 and 61065010);Doctoral Fund of Ministry of Education of China(No.20125201110003)
This work investigates a simple and practical bio-immune optimization approach to solve a kind of chance-constrained programming problem without known noisy attributes, after probing into a lower bound estimate of sam...
supported by the National Natural Science Foundation of China(No.61065010);the Doctoral Fund of Ministry of Education of China(No.20125201110003)
This work investigates one immune optimization algorithm in uncertain environments, solving linear or nonlinear joint chance-constrained programming with a general distribution of the random vector. In this algorithm,...