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GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
13 years 10 months ago
Healthy daily meal planner
The purpose of this project is to develop a program that solves a bi-objective diet problem to propose the user a “healthy” daily meal according to some parameters specified b...
Aynur Kahraman, H. Aydolu Seven
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
13 years 10 months ago
Tactical UGV navigation and logistics planning
The Army’s push towards developing highly flexible military teams that combine manned and unmanned units requires significant advances in the intelligence of the unmanned units ...
Talib S. Hussain, Daniel Cerys, David J. Montana, ...
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
13 years 10 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
13 years 10 months ago
Toward evolved flight
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Rusty Hunt, Gregory Hornby, Jason D. Lohn
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
13 years 10 months ago
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Chien-Feng Huang, Luis Mateus Rocha
GECCO
2005
Springer
115views Optimization» more  GECCO 2005»
13 years 10 months ago
A generator for hierarchical problems
We describe a generator for hierarchical problems called the Hierarchical Problem Generator (HPG). Hierarchical problems are of interest since they constitute a class of problems ...
Edwin D. de Jong, Richard A. Watson, Dirk Thierens
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
13 years 10 months ago
On the complexity of hierarchical problem solving
Competent Genetic Algorithms can efficiently address problems in which the linkage between variables is limited to a small order k. Problems with higher order dependencies can onl...
Edwin D. de Jong, Richard A. Watson, Dirk Thierens
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
13 years 10 months ago
The MaxSolve algorithm for coevolution
Coevolution can be used to adaptively choose the tests used for evaluating candidate solutions. A long-standing question is how this dynamic setup may be organized to yield reliab...
Edwin D. de Jong
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
13 years 10 months ago
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
For computer-automated design systems to scale to complex designs they must be able to produce designs that exhibit the characteristics of modularity, regularity and hierarchy –...
Gregory Hornby