Titlebook: JIMD Reports, Volume 43; Eva Morava,Matthias Baumgartner,Verena Peters Book 2019 Society for the Study of Inborn Errors of Metabolism (SSI

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Aqueous-Humor

Jana Matic,Nina A. Zeltner,Johannes H?berle vehicles including new constraints, denoted VRP-HFCC. This problem is defined by a set of customers that have to be served by a mixed fleet of vehicles composed of heterogenous fleet of Electric Vehicles (EVs) with distinct battery capacities and operating costs, and a set of identical Conventional

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Mary Kay Koenig,Penelope E. Bonnenal disciplines including Artificial Intelligence. This paper investigates the performance of a novel Ant Colony Optimization (ACO) algorithm for the realization (compilation) of nearest-neighbor compliant quantum circuits of minimum duration. In fact, current technological limitations (e.g., decoher

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Louise Crowe,Vicki Anderson,Winita Hardikar,Avihu Bonehimulation of a process under various scenarios. Thus, good solutions should not only achieve good objective function values, but they must be robust (low variance) across all different scenarios. Previous work has revealed the effectiveness of . for this task. However, the operators used by . to gen

不出名

Ningning Guo,Victor DeAngelis,Changzhi Zhu,Edward H. Schuchman,Calogera M. Simonaroms like the Traveling Salesman Problem, the Vehicle Routing Problem, etc., is the fact that the basic equation of the Particle Swarm Optimization algorithm is suitable for continuous optimization problems and the transformation of this equation in the discrete space may cause loose of information an

厭食癥

Teruo Miyazaki,Hironori Nagasaka,Haruki Komatsu,Ayano Inui,Ichiro Morioka,Hirokazu Tsukahara,Shunsakll the solutions fulfilling the gene transmission property: the value of any variable in the offspring must be inherited from one of the parents. This set of solutions coincides with the largest dynastic potential for the two parent solutions of any recombination operator with the gene transmission

小爭吵

C. A. Stutterd,N. J. Lake,H. Peters,P. J. Lockhart,R. J. Taft,M. S. van der Knaap,A. Vanderver,D. R.son Problem (TSP) is no exception. We apply three state-of-the-art heuristic solvers to a large set of TSP instances of varying structure and size, identifying which heuristics solve specific instances to optimality faster than others. The first two solvers considered are variants of the multi-trial

inconceivable

Douglas Bush,Leighann Sremba,Kate Lomax,Jill Lipsett,David Ketteridge,Drago Bratkovic,Yazmin Enchauthe two machines are equal. This case is interesting because it occurs in various applications, e.g., when one machine is a packing machine. For the buffers we consider two types of buffers that have been studied in the literature for flow shops. It is shown that all considered buffered flow shop pro

EXTOL

Sara Musa,Wafaa Eyaid,Kimberli Kamer,Rehab Ali,Mariam Al-Mureikhi,Noora Shahbeck,Fatma Al Mesaifri,Nent, that is, optimizing the scheduling of a set of tasks so that the consumed volume of contaminated water is minimized. Each task consists of manually activating a given device, located on the hydraulic network of the water distribution system. In practice, once contamination has been detected, a