— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
-- Design of non-uniform linear antenna arrays is one of the most important electromagnetic optimization problems of current interest. In this article, an adaptive Differential Evo...
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...
roperty Verification by Abstraction Refinement with Formal, Simulation and Hybrid Engines Dong Wang , Pei-Hsin Ho , Jiang Long , James Kukula Yunshan Zhu , Tony Ma , Robert D...
Dong Wang, Pei-Hsin Ho, Jiang Long, James H. Kukul...