Artificial Bee Colony Algorithm with Improved Explorations for Numerical Function Optimization

A major problem with Artificial Bee Colony (ABC) algorithm is its premature convergence to local optima, which originates from lack of explorative search capability of the algorithm. This paper introduces ABC with Improved Explorations (ABC-IX), a novel algorithm that modifies both the selection and perturbation operations of the basic ABC algorithm in an explorative way. Unlike the basic ABC algorithm, ABC-IX employs a probabilistic, explorative selection scheme based on simulated annealing which can accept both better and worse candidate solutions. ABC-IX also maintains a self-adaptive perturbation rate, separately for each candidate solution, to promote more explorations. ABC-IX is tested on a number of benchmark problems for numerical optimization and compared with several recent variants of ABC. Results show that ABC-IX often outperforms the other ABC-variants on most of the problems

水の光電気化学的酸化分解に活性な BiVO4薄膜光電極への Zr 添加効果

Effects of zirconium (Zr) doping into BiVO4 electrode on its structural properties and photoelectrochemical (PEC) property for water oxidation were examined. The BiVO4 electrodes with different Zr contents were prepared via a spin-coating process. Structural analyses using XRD and Raman spectroscopy indicated that all the samples consisted of mixtures of monoclinic scheelite (ms-BiVO4) and tetragonal scheelite (ts-BiVO4) structures. The highest PEC property for water oxidation was achieved when the sample doped with a relatively small amount of Zr (i.e., 0.5% of Zr-doped BiVO4); further doping caused a reduction of PEC property, probably due to the enhancement of carrier recombination induced by such excess Zr components