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PPSN
1992
Springer
15 years 11 months ago
Nonstationary Function Optimization using the Structured Genetic Algorithm
In this paper, we describe the application of a new type of genetic algorithm called the Structured Genetic Algorithm (sGA) for function optimization in nonstationary environments...
Dipankar Dasgupta, Douglas R. McGregor
190
Voted
ATAL
2006
Springer
15 years 10 months ago
Action awareness: enabling agents to optimize, transform, and coordinate plans
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
Freek Stulp, Michael Beetz
EUC
2006
Springer
15 years 10 months ago
Optimizing Scheduling Stability for Runtime Data Alignment
Runtime data alignment has been paid attention recently since it can allocate data segment to processors dynamically according to applications' requirement. One of the key opt...
Ching-Hsien Hsu, Chao-Yang Lan, Shih-Chang Chen
ECAI
2006
Springer
15 years 8 months ago
Solving Optimization Problems with DLL
Propositional satisfiability (SAT) is a success story in Computer Science and Artificial Intelligence: SAT solvers are currently used to solve problems in many different applicati...
Enrico Giunchiglia, Marco Maratea
ESA
2008
Springer
136views Algorithms» more  ESA 2008»
15 years 8 months ago
Oblivious Randomized Direct Search for Real-Parameter Optimization
The focus is on black-box optimization of a function f : RN R given as a black box, i. e. an oracle for f-evaluations. This is commonly called direct search, and in fact, most meth...
Jens Jägersküpper