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IJHIS
2007
89views more  IJHIS 2007»
13 years 7 months ago
A new hybrid heuristic for driver scheduling
This paper describes a new hybrid method based on the application of the Population Training Algorithm (PTA) and linear programming (LP) for generation of schedules for drivers in...
Geraldo R. Mauri, Luiz Antonio Nogueira Lorena
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 2 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
ECML
2006
Springer
13 years 11 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.
ALENEX
2001
151views Algorithms» more  ALENEX 2001»
13 years 9 months ago
The Asymmetric Traveling Salesman Problem: Algorithms, Instance Generators, and Tests
The purpose of this paper is to provide a preliminary report on the rst broad-based experimental comparison of modern heuristics for the asymmetric traveling salesmen problem ATSP....
Jill Cirasella, David S. Johnson, Lyle A. McGeoch,...
AI
1998
Springer
14 years 5 days ago
A Heuristic Incremental Modeling Approach to Course Timetabling
Abstract. The general timetabling problem is an assignment of activities to xed time intervals, adhering to a prede ned set of resource availabilities. Timetabling problems are di ...
Don Banks, Peter van Beek, Amnon Meisels