Portfolio optimization is the process of determining the best combination of securities and
proportions with the aim of having less risk and obtaining more profit in an investment …

Here we demonstrate an 8x4 multi-wavelength selective ring resonator based crossbar
switch matrix implemented in a 220-nm silicon photonics foundry for interconnecting …

Feature selection remains one of the most important steps for usability of a model for both
supervised and unsupervised classification. For a dataset, with n features, the number of …

JavaScript is one of the most used programming languages for front-end development of
Web applications. The increase in complexity of front-end features brings concerns about …

Die Energieversorgung verschiebt sich kontinuierlich von einer zentralisierten zu einer
dezentralen Versorgung mit deutlichem Ausbau fluktuierender erneuerbarer Energien. Bei …

为提高分布式环境下数据仓库的查询效率, 降低维护成本, 提出基于混合蛙跳算法(SFLA)
求解分布式物化视图选择问题. 分析了基本蛙跳规则不适用于分布式物化视图选择问题的原因 …

Course scheduling problem is a combinatorial optimization problem which is defined over a
finite discrete problem whose candidate solution structure is expressed as a finite sequence …

Searching within the sample space for optimal solutions is an important part in solving
optimization problems. The motivation of this work is that today's problem environments …

The problem of algorithm selection is of great importance to the optimisation community, with
a number of publications present in the Body-of-Knowledge. This importance stems from the …

We apply Simulated Annealing, a well-known metaheuristic for obtaining near-optimal
solutions to optimization problems, to discover conserved synteny relations (similar features) …