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ICML
1995
IEEE
14 years 8 months ago
Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
Luca Maria Gambardella, Marco Dorigo
EVOW
2010
Springer
14 years 2 months ago
Enhancing Genetic Algorithms by a Trie-Based Complete Solution Archive
Genetic algorithms (GAs) share a common weakness with most other metaheuristics: Candidate solutions are in general revisited multiple times, lowering diversity and wasting preciou...
Günther R. Raidl, Bin Hu
APSCC
2007
IEEE
14 years 2 months ago
An Agent Scheduling Optimization for Call Centers
A suitable assignment of agents to handle the workload at a call center is not easy to fulfill because it requires a combinatorial optimization with large solution space and the n...
Chiaki Hishinuma, Masaaki Kanakubo, Takuma Goto
CP
2007
Springer
14 years 1 months ago
Solving the Salinity Control Problem in a Potable Water System
Salinity is the relative concentration of salts in water. In a city of southern China, the local water supply company pumps water from a nearby river for potable use. During the wi...
Chiu Wo Choi, Jimmy Ho-Man Lee
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 1 months ago
A building-block royal road where crossover is provably essential
One of the most controversial yet enduring hypotheses about what genetic algorithms (GAs) are good for concerns the idea that GAs process building-blocks. More specifically, it ha...
Richard A. Watson, Thomas Jansen