Abstract. MOEA/D is a novel and successful Multi-Objective Evolutionary Algorithms(MOEA) which utilizes the idea of problem decomposition to tackle the complexity from multiple obj...
Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao ...
The quantum analog of a constraint satisfaction problem is a sum of local Hamiltonians - each (term of the) Hamiltonian specifies a local constraint whose violation contributes to...
Dorit Aharonov, Itai Arad, Zeph Landau, Umesh V. V...
— In this paper, a strategy for controlled pushing is presented for microassembly of 4.5 μm polystyrene particles on a flat glass substrate using an atomic force microscope prob...
Nicholas A. Lynch, Cagdas D. Onal, Eugenio Schuste...
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
A computer simulation model is proposed for discretetime doubly-selective compound-K fading channel. It first generates multiple independent mobile-to-mobile Rayleigh fading Chan...