Efficient solutions to some transportation problems with applications to minimizing robot arm travel
SIAM Journal on Computing
Scheduling deteriorating jobs on a single processor
Operations Research
Routing and scheduling on a shoreline with release times
Management Science
V-shaped policies for scheduling deteriorating jobs
Operations Research
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Combinatorial optimization
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Hi-index | 0.00 |
In this paper, we study how to collect n balls moving with a fixed constant velocity in the Euclidean plane by k robots moving on straight track-lines through the origin. Since all the balls might not be caught by robots, differently from Moving-target TSP, we consider the following 3 problems in various situations: (i) deciding if k robots can collect all n balls; (ii) maximizing the number of the balls collected by k robots; (iii) minimizing the number of the robots to collect all n balls. The situations considered in this paper contain the cases in which track-lines are given (or not), and track-lines are identical (or not). For all problems and situations, we provide polynomial time algorithms or proofs of intractability, which clarify the tractability-intractability frontier in the ball collecting problems in the Euclidean plane.