GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The behavior of natural, biological ecosystems is for a large part determined by environmental conditions. It should therefore be possible to experimentally manipulate such condit...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Evolutionary algorithms are among the metaheuristic search methods that have been applied to the structural test data generation problem. Fitness evaluation methods play an import...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
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...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
We propose a crossover method to combine complexly overlapping building blocks (BBs). Although there have been several techniques to identify linkage sets of loci o form a BB [4, ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In many industrial applications, the dynamic control of queuing and routing presents difficult challenges. We describe a novel ant colony control system for a multiobjective sorti...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Positioning multiple sensors for acquisition of a a given environment is one of the fundamental research areas in various fields, such as military scouting, computer vision and ro...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this paper we demonstrate that pressure for robustness combined with function sets containing redundant genes can cause an evolutionary system to avoid a more fit solution in f...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...