2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.DC2019★ 2 cited
Parallel computational optimization in operations research: A new integrative framework, literature review and research directions
Guido Schryen
Solving optimization problems with parallel algorithms has a long tradition in OR. Its future relevance for solving hard optimization problems in many fields, including finance, lo…
cs.DC2016
High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic
Gerhard Rauchecker, Guido Schryen
Many academic disciplines - including information systems, computer science, and operations management - face scheduling problems as important decision making tasks. Since many sch…
cs.GT2016
Approximation Algorithms for Max-Min Share Allocations of Indivisible Chores and Goods
Haris Aziz, Gerhard Rauchecker, Guido Schryen +1
We consider Max-min Share (MmS) allocations of items both in the case where items are goods (positive utility) and when they are chores (negative utility). We show that fair alloca…