Synthesis of the [beta]-distribution as an aid to stochastic global optimization Export

@article{citeulike:1044415, abstract = {The [beta]-distribution is used as a point generation scheme in global optimization. Two population set-based global optimization algorithms are considered. These are the differential evolution (DE) and the controlled random search (CRS) algorithms. The point generation schemes of DE and CRS are hybridized with the [beta] random variate. The hybridization uses a probabilistic combination of the point generation by the [beta]-distribution and the point generation by DE or CRS. Numerical experiments are carried out using both test and practical problems. Numerical results suggest that the resulting algorithms are superior to their respective original counterpart.}, author = {Ali, M. M.}, citeulike-article-id = {1044415}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.csda.2006.12.011}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6V8V-4MR1HCV-3/2/89d836d46e3beb416743ac76384b2273}, doi = {10.1016/j.csda.2006.12.011}, journal = {Computational Statistics \& Data Analysis}, keywords = {beta-distribution, controlled-random-search, differential-evolution, estimation-of-distribution-algorithm, evolutionary-computation, hybridization, metaheuristic}, posted-at = {2007-01-16 10:45:47}, priority = {5}, title = {Synthesis of the [beta]-distribution as an aid to stochastic global optimization}, url = {http://dx.doi.org/10.1016/j.csda.2006.12.011}, volume = {In Press, Uncorrected Proof} }

TY - JOUR ID - citeulike:1044415 L3 - citeulike-article-id:1044415 N2 - The [beta]-distribution is used as a point generation scheme in global optimization. Two population set-based global optimization algorithms are considered. These are the differential evolution (DE) and the controlled random search (CRS) algorithms. The point generation schemes of DE and CRS are hybridized with the [beta] random variate. The hybridization uses a probabilistic combination of the point generation by the [beta]-distribution and the point generation by DE or CRS. Numerical experiments are carried out using both test and practical problems. Numerical results suggest that the resulting algorithms are superior to their respective original counterpart. JF - Computational Statistics & Data Analysis TI - Synthesis of the [beta]-distribution as an aid to stochastic global optimization VL - In Press, Uncorrected Proof KW - beta-distribution KW - controlled-random-search KW - differential-evolution KW - estimation-of-distribution-algorithm KW - evolutionary-computation KW - hybridization KW - metaheuristic AU - Ali, MM UR - http://dx.doi.org/10.1016/j.csda.2006.12.011 ER -