Branch, cut, and price (BCP) is an LP-based branch and bound technique for solving large-scale discrete optimization problems (DOPs). In BCP, both cuts and variables can be generat...
Abstract. We present results from a series of experiments, where relevant factors for the use of path prepositions were examined. We were especially interested in the concepts behi...
It has long been accepted that requirements analysis should precede architectural design and implementation, but in software evolution and reverse engineering this concern with bl...
To solve real-world discrete optimization problems approximately metaheuristics such as simulated annealing and other local search methods are commonly used. For large instances o...
Multi-agent systems are prone to failures typical of any distributed system. Agents and resources may become unavailable due to machine crashes, communication breakdowns, process ...