Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; Second International Roman Barták,Mic

類人猿

Manifest

Integration of Rules and Optimization in Plant PowerOpsnterface for configuring, maintaining and tuning the system and for managing optimization scenarios. The proposed approach is discussed via several use cases we encountered in practice in supply chain management. Nevertheless, we believe that most of the ideas described in this paper apply in almost any area of optimization application.

得罪

Scheduling Social Golfers Locally results from constraint programming on all but 3 instances. Moreover, most instances of the social golfers are solved within a couple of seconds. Interestingly, the algorithm does not incorporate any symmetry-breaking scheme and illustrates the nice complementarity between constraint programming and local search on this scheduling application.

勉強

Shorter Path Constraints for the Resource Constrained Shortest Path Problemto improve significantly over previously developed problem-tailored filtering algorithms and investigate the impact of required-edge detection, undirected versus directed filtering, and the choice of the algorithm optimizing the Lagrangian dual.

propose

Group Construction for Airline Cabin Crew: Comparing Constraint Programming with Branch and Pricen, implemented and delivered to a large European airline, which addresses these needs. The problem is challenging to solve for certain cases. Hence two different approaches have been applied, one using constraint programming and the other using column generation. These two methods are described and compared – along with computational results.

指數(shù)

Constraint Programming Based Column Generation for Employee Timetabling. We propose to address the shift generation problem with constraint satisfaction techniques based on expressive and efficient global constraints such as . and .. The selection problem, which is modeled with an integer linear program, is solved by a standard MIP solver for smaller instances and addr

ANTIC

Mixed Discrete and Continuous Algorithms for Scheduling Airborne Astronomy Observations to solve a simplified version of this problem. While initial results were promising, ForwardPlanner fails to scale when accounting for all relevant constraints. We describe a novel combination of Squeaky Wheel Optimization (SWO), an incomplete algorithm designed to solve scheduling problems, with p

占卜者

0302-9743 nthe?eld;PaulPop,professor in the Embedded Systems Lab in the Computer and Information Science - partment, Link¨ oping University; and Paul Williams, full profe978-3-540-26152-0978-3-540-32264-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

吝嗇性

OTHER