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V Kumar, AY Grama, NR Vempaty - Journal of Parallel and Distributed …, 1994 - Elsevier
In this paper we analyze the scalability of a number of load balancing algorithms which can be applied to problems that have the following characteristics: the work done by a processor …
This book is about problem solving. Specifically, it is about heuristic state-space search under branch-and-bound framework for solving com binatorial optimization problems. The …
Mobile edge caching/computing (MEC) has been emerging as a promising paradigm to provide ultra-high rate, ultra-reliable, and/or low-latency communications in future wireless …
A general technique that can be used to solve a wide variety of discrete optimization problems is the branch-and-bound algorithm. We have adapted and extended branch-and …
L Devroye - Probabilistic methods for algorithmic discrete …, 1998 - Springer
We give a partial overview of some results from the rich theory of branching processes and illustrate their use in the probabilistic analysis of algorithms and data structures. The …
W Zhang, RE Korf - Artificial Intelligence, 1996 - Elsevier
The traveling salesman problem (TSP) is one of the best-known combinatorial optimization problems. Branch-and-bound (BnB) is the best method for finding an optimal solution of the …
W Zhang, RE Korf - Artificial Intelligence, 1995 - Elsevier
Search algorithms that use space linear in the search depth are widely employed in practice to solve difficult problems optimally, such as planning and scheduling. In this paper, we …
A Grama, V Kumar - ORSA Journal on Computing, 1995 - pubsonline.informs.org
Discrete optimization problems (DOPs) arise in various applications such as planning, scheduling, computer aided design, robotics, game playing and constraint directed …