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GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 4 months ago
System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs
Initial results have been achieved for automatic synthesis of MEMS system-level lumped parameter models using genetic programming and bond graphs. This paper first discusses the ne...
Zhun Fan, Kisung Seo, Jianjun Hu, Ronald C. Rosenb...
GECCO
2003
Springer
133views Optimization» more  GECCO 2003»
14 years 4 months ago
Dynamic Strategies in a Real-Time Strategy Game
Abstract. Most modern real-time strategy computer games have a sophisticated but fixed ‘AI’ component that controls the computer’s actions. Once the user has learned how suc...
William Joseph Falke II, Peter Ross
GECCO
2003
Springer
133views Optimization» more  GECCO 2003»
14 years 4 months ago
Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm
In this study a multi-objective genetic algorithm approach is developed for determining new reaction rate parameters for the combustion of kerosene/air mixtures. The multi-objectiv...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
14 years 4 months ago
Analysis of the (1+1) EA for a Dynamically Bitwise Changing OneMax
Abstract. Although evolutionary algorithms (EAs) are often successfully used for the optimization of dynamically changing objective function, there are only very few theoretical re...
Stefan Droste
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
14 years 4 months ago
Uniform Crossover Revisited: Maximum Disruption in Real-Coded GAs
A detailed comparison is presented of five well-known crossover operators on a range of continuous optimization tasks to test longheld beliefs concerning disruption, with respect ...
Stephen Drake
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
14 years 4 months ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
14 years 4 months ago
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting th...
Federico Divina, Maarten Keijzer, Elena Marchiori
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
14 years 4 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
GECCO
2003
Springer
189views Optimization» more  GECCO 2003»
14 years 4 months ago
A Forest Representation for Evolutionary Algorithms Applied to Network Design
Abstract. Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some example...
Alexandre C. B. Delbem, André Carlos Ponce ...