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EVOW
2000
Springer
15 years 10 months ago
An Ant Algorithm with a New Pheromone Evaluation Rule for Total Tardiness Problems
Ant Colony Optimization is an evolutionary method that has recently been applied to scheduling problems. We propose an ACO algorithm for the Single Machine Total Weighted Tardiness...
Daniel Merkle, Martin Middendorf
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
15 years 12 months ago
Modeling Coevolutionary Genetic Algorithms on Two-Bit Landscapes: Random Partnering
Abstract. A model of coevolutioinary genetic algorithms (COGA) consisting of two populations coevolving on two-bit landscapes is investigated in terms of the effects of random par...
Ming Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu ...
AMET
1998
Springer
15 years 10 months ago
Evolutionary Computing and Negotiating Agents
Automated negotiation has been of particular interest due to the relevant role that negotiation plays among trading agents. This paper presents two types of agent architecture: Cas...
Noyda Matos, Carles Sierra
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
16 years 1 days ago
Evolutionary testing of state-based programs
The application of Evolutionary Algorithms to structural test data generation, known as Evolutionary Testing, has to date largely focused on programs with input-output behavior. H...
Phil McMinn, Mike Holcombe