An optimal polynomial time algorithm for the common cycle economic lot and delivery scheduling problem

2004 ◽  
Vol 156 (2) ◽  
pp. 305-311 ◽  
Author(s):  
Mikkel T. Jensen ◽  
Moutaz Khouja
1994 ◽  
Vol 03 (03) ◽  
pp. 395-405
Author(s):  
J. HARALAMBIDES ◽  
S. TRAGOUDAS

The problem of partitioning the elements of a graph G=(V, E) into two equal size sets A and B that share at most d elements such that the total number of edges (u, v), u∈A−B, v∈B−A is minimized, arises in the areas of Hypermedia Organization, Network Integrity, and VLSI Layout. We formulate the problem in terms of element duplication, where each element c∈A∩B is substituted by two copies c′∈A and c″∈B As a result, edges incident to c′ or c″ need not count in the cost of the partition. We show that this partitioning problem is NP-hard in general, and we present a solution which utilizes an optimal polynomial time algorithm for the special case where G is a series-parallel graph. We also discuss special other cases where the partitioning problem or variations are polynomially solvable.


2016 ◽  
Vol 20 (8) ◽  
pp. 1543-1546 ◽  
Author(s):  
Sara Ayoubi ◽  
Chadi Assi ◽  
Lata Narayanan ◽  
Khaled Shaban

2015 ◽  
Vol 2015 ◽  
pp. 1-4 ◽  
Author(s):  
Peng Liu ◽  
Lini Duan

We consider a scheduling problem in which both resource dependent release times and two agents exist simultaneously. Two agents share a common single machine, and each agent wants to minimize a cost function dependent on its own jobs. The release time of eachA-agent’s job is related to the amount of resource consumed. The objective is to find a schedule for the problem of minimizingA-agent’s total amount of resource consumption with a constraint onB-agent’s makespan. The optimal properties and the optimal polynomial time algorithm are proposed to solve the scheduling problem.


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