Emergencies cause uncertainty in supply chain environment and risks of disruption. Mitigating such emergency relies on efficient relief material distribution, the distribution logistics system, facility location interacts with allocation clearly. This paper aims to provide a collaborative optimization for temporary centers, objectives minimizing rescue time maximizing demand satisfaction rate. ...

In a growing transportation market, the optimization and organization of distribution networks have become an important issue for companies that are looking improving efficiency their freight transport systems. this context, adoption collaboration strategy between various logistics actors can enhance operational reduce sustainability impacts. paper, we evaluate economic, environmental social be...

With the rapid development of Internet and various learning platforms, explosive growth resources in field education has made recommendation increasingly important, it gradually become research focus academic circles. This article develops an English precision teaching platform based on CF algorithm combinatorial optimization to accurately recommend materials that meet learners’ personal prefer...

Software and hardware co-design and optimization of HPC systems has become intolerably complex, ad-hoc, time consuming and error prone due to enormous number of available design and optimization choices, complex interactions between all software and hardware components, and multiple strict requirements placed on performance, power consumption, size, reliability and cost. We present our novel lo...

The computational bottleneck in applying online learning to massive data sets is usually the projection step. We present efficient online learning algorithms that eschew projections in favor of much more efficient linear optimization steps using the Frank-Wolfe technique. We obtain a range of regret bounds for online convex optimization, with better bounds for specific cases such as stochastic ...

In recent years, Particle Swarm Optimization has evolved as an effective global optimization algorithm whose dynamics has been inspired from swarming or collaborative behavior of biological populations. In this paper, PSO has been applied to Triple Link Inverted Pendulum model to find its reduced order model by minimization of error between the step responses of higher and reduced order model. ...

We present a metaheuristic optimization framework based on a Collaborative Agent Teams (CAT) architecture to tackle large-scale mixed-integer optimization problems with complex structures. This framework introduces several conceptual improvements over previous agent teams approaches. We discuss how to configure the three key components of a CAT solver for a particular multidimensional optimizat...

The NEOS Server for Optimization was unveiled in 1995 as one result of an effort to develop computational servers and collaborative technologies. Today, the NEOS Server (www-neos.mcs.anl.gov) is a multi-institutional research effort providing access to more than fifty academic and commercial optimization packages through an assortment of Internet interfaces. More than seventy thousand job reque...