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GECCO
2006
Springer
122views Optimization» more  GECCO 2006»
9 years 10 months ago
Genetic algorithms are suitable for driving microbial ecosystems in desirable directions
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...
Frederik P. J. Vandecasteele, Thomas F. Hess, Rona...
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
9 years 10 months ago
Pairwise sequence comparison for fitness evaluation in evolutionary structural software testing
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...
H. Turgut Uyar, A. Sima Etaner-Uyar, A. Emre Harma...
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
9 years 10 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
2006
Springer
116views Optimization» more  GECCO 2006»
9 years 10 months ago
A crossover for complex building blocks overlapping
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, ...
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
9 years 10 months ago
The Brueckner network: an immobile sorting swarm
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...
William A. Tozier, Michael R. Chesher, Tejinderpal...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
9 years 10 months ago
Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes
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...
Haluk Topcuoglu, Murat Ermis
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
9 years 10 months ago
Improving evolutionary real-time testing
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...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
9 years 10 months ago
Redundant genes and the evolution of robustness
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...
Russell Thomason, Terence Soule
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
9 years 10 months ago
Combining genetic algorithms with squeaky-wheel optimization
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 ...
Justin Terada, Hoa Vo, David Joslin
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