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AMAI
1999
Springer
13 years 7 months ago
Maintenance scheduling problems as benchmarks for constraint algorithms
The paper focuses on evaluating constraint satisfaction search algorithms on application based random problem instances. The application we use is a well-studied problem in the el...
Daniel Frost, Rina Dechter
TSMC
1998
78views more  TSMC 1998»
13 years 7 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
13 years 11 months ago
Real-time construction of aircraft landing schedules using an evolutionary algorithm
This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to evo...
Neil Urquhart
GECCO
2007
Springer
326views Optimization» more  GECCO 2007»
14 years 1 months ago
Binary differential evolution for the unit commitment problem
The Unit Commitment Problem (UCP) is the task of finding an optimal turn on and turn off schedule for a group of power generation units over a given time horizon to minimize ope...
Ali Keles
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 11 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang