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SEAL
1998
Springer
13 years 11 months ago
Information Operator Scheduling by Genetic Algorithms
Abstract. In this paper, we discuss an approach to an operator scheduling problem in a large organization over time with the aim of maintaining service quality and reducing total l...
Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano
SEAL
1998
Springer
13 years 11 months ago
Robust Evolution Strategies
This paper empirically investigates the use and behaviour of Evolution Strategies (ES) algorithms on problems such as function optimisation and the use of evolutionary artificial ...
Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda
SEAL
1998
Springer
13 years 11 months ago
Using Genetic Algorithms to Simulate the Evolution of an Oligopoly Game
Abstract. This paper extends the N-person IPD game into a more interesting game in economics, namely, the oligopoly game. Due to its market share dynamics, the oligopoly game is mo...
Shu-Heng Chen, Chih-Chi Ni
SEAL
1998
Springer
13 years 11 months ago
Automating Space Allocation in Higher Education
The allocation of office space in any large institution is usually a problematical issue, which often demands a substantial amount of time to perform manually. The result of this a...
Edmund K. Burke, D. B. Varley
SEAL
1998
Springer
13 years 11 months ago
A Hybrid Tabu Search Algorithm for the Nurse Rostering Problem
Abstract. This paper deals with the problem of nurse rostering in Belgian hospitals. This is a highly constrained real world problem that was (until the results of this research we...
Edmund K. Burke, Patrick De Causmaecker, Greet Van...
SEAL
1998
Springer
13 years 11 months ago
Co-evolution, Determinism and Robustness
Abstract. Robustness has long been recognised as a critical issue for coevolutionary learning. It has been achieved in a number of cases, though usually in domains which involve so...
Alan D. Blair, Elizabeth Sklar, Pablo Funes
SEAL
1998
Springer
13 years 11 months ago
Evolutionary Programming-Based Uni-vector Field Method for Fast Mobile Robot Navigation
Most of the obstacle avoidance techniques do not consider the robot orientation or its nal angle at the target position. These techniques deal with the robot position only and are ...
Yong-Jae Kim, Dong-Han Kim, Jong-Hwan Kim
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 11 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh