GECCO
2003
Springer
13 years 10 months ago
2003
Springer
The new standard for actuators in the aerospace industry is electromechanical actuators. This paper describes an approach whereby PID and DFF controllers are used in unison to eff...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
The MasterMind game involves decoding a secret code. The classic game is a code of six possible colors in four slots. The game has been analyzed and optimal strategies have been po...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. This paper introduces a modified PSO, Non-dominated Sorting Particle Swarm Optimizer (NSPSO), for better multiobjective optimization. NSPSO extends the basic form of PSO...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. A brachistochrone is the path along which a weighted particle falls most quickly from one point to another, and a catenary is the smooth curve connecting two points whose...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
The Linear Ordering Problem(LOP), which is a well-known NP-hard problem, has numerous applications in various fields. Using this problem as an example, we illustrate a general pro...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. Designing an adequate fitness function requiressubstantial knowledge of a problem and of features that indicate progress towards a solution. Coevolution takes the human ...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applied to real-world problems. Their highly multi-mo...