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GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
8 years 11 months ago
Improved analysis methods for crossover-based algorithms
We deepen the theoretical analysis of the genetic algorithm for the all-pairs shortest path problem proposed by Doerr, Happ and Klein (GECCO 2008). We show that the growth of the ...
Benjamin Doerr, Madeleine Theile
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
8 years 11 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Francesc Comellas, Jesus Martinez-Navarro
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
8 years 11 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
8 years 11 months ago
A hybrid simulated annealing algorithm for container loading problem
Yu Peng, Defu Zhang, Francis Y. L. Chin
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
8 years 11 months ago
Cooperative micro-particle swarm optimization
Cooperative approaches have proved to be very useful in evolutionary computation due to their ability to solve efficiently high-dimensional complex problems through the cooperatio...
Konstantinos E. Parsopoulos
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
9 years 4 months ago
Grammatical evolution
Conor Ryan
GECCO
2009
Springer
9 years 4 months ago
No free lunch: 1995-2008
Darrell Whitley
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
9 years 4 months ago
A multiobjective GRASP for rule selection
Alan P. Reynolds, David W. Corne, Beatriz de la Ig...
GECCO
2009
Springer
129views Optimization» more  GECCO 2009»
9 years 4 months ago
Evolutionary functional testing of continuous control systems
Evolutionary functional testing is an approach to automatically generating test cases that violate a certain functional system requirement. This paper proposes an approach suitabl...
Andreas Windisch, Felix Lindlar, Sebastian Topuz, ...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
9 years 4 months ago
Tracking multiple objects in non-stationary video
One of the key problems in computer vision and pattern recognition is tracking. Multiple objects, occlusion, and tracking moving objects using a moving camera are some of the chal...
Hoang Nguyen, Bir Bhanu
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